Triple

T14860091
Position Surface form Disambiguated ID Type / Status
Subject Deutsch–Jozsa algorithm E349464 entity
Predicate problemTypeSolved P115902 FINISHED
Object Deutsch–Jozsa problem
The Deutsch–Jozsa problem is a foundational decision problem in quantum computing that asks whether a given Boolean function is constant or balanced, showcasing an exponential speedup over classical algorithms.
E349464 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Deutsch–Jozsa problem | Statement: [Deutsch–Jozsa algorithm, problemTypeSolved, Deutsch–Jozsa problem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsch–Jozsa problem
Context triple: [Deutsch–Jozsa algorithm, problemTypeSolved, Deutsch–Jozsa problem]
  • A. Deutsch–Jozsa algorithm
    The Deutsch–Jozsa algorithm is a foundational quantum algorithm that demonstrates how quantum computation can solve certain decision problems exponentially faster than any classical deterministic algorithm.
  • B. BQP vs. the Polynomial Hierarchy
    "BQP vs. the Polynomial Hierarchy" is a highly influential research paper by Scott Aaronson that investigates the relationship between quantum polynomial-time computation and the classical polynomial hierarchy, with major implications for our understanding of quantum advantage and complexity theory.
  • C. Valiant–Vazirani theorem
    The Valiant–Vazirani theorem is a fundamental result in computational complexity theory showing that solving unique solutions of NP problems is, under randomized reductions, as hard as solving general NP problems, with major implications for the study of randomness and hardness of approximation.
  • D. Entscheidungsproblem
    The Entscheidungsproblem is a foundational decision problem in mathematical logic that asks whether there exists a general algorithm to determine the truth or falsity of any given first-order logical statement.
  • E. P versus NP problem
    The P versus NP problem is a central unsolved question in theoretical computer science that asks whether every problem whose solution can be quickly verified by a computer can also be quickly solved by a computer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deutsch–Jozsa problem
Triple: [Deutsch–Jozsa algorithm, problemTypeSolved, Deutsch–Jozsa problem]
Generated description
The Deutsch–Jozsa problem is a foundational decision problem in quantum computing that asks whether a given Boolean function is constant or balanced, showcasing an exponential speedup over classical algorithms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deutsch–Jozsa problem
Target entity description: The Deutsch–Jozsa problem is a foundational decision problem in quantum computing that asks whether a given Boolean function is constant or balanced, showcasing an exponential speedup over classical algorithms.
  • A. Deutsch–Jozsa algorithm chosen
    The Deutsch–Jozsa algorithm is a foundational quantum algorithm that demonstrates how quantum computation can solve certain decision problems exponentially faster than any classical deterministic algorithm.
  • B. BQP vs. the Polynomial Hierarchy
    "BQP vs. the Polynomial Hierarchy" is a highly influential research paper by Scott Aaronson that investigates the relationship between quantum polynomial-time computation and the classical polynomial hierarchy, with major implications for our understanding of quantum advantage and complexity theory.
  • C. Valiant–Vazirani theorem
    The Valiant–Vazirani theorem is a fundamental result in computational complexity theory showing that solving unique solutions of NP problems is, under randomized reductions, as hard as solving general NP problems, with major implications for the study of randomness and hardness of approximation.
  • D. Entscheidungsproblem
    The Entscheidungsproblem is a foundational decision problem in mathematical logic that asks whether there exists a general algorithm to determine the truth or falsity of any given first-order logical statement.
  • E. P versus NP problem
    The P versus NP problem is a central unsolved question in theoretical computer science that asks whether every problem whose solution can be quickly verified by a computer can also be quickly solved by a computer.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: problemTypeSolved
Context triple: [Deutsch–Jozsa algorithm, problemTypeSolved, Deutsch–Jozsa problem]
  • A. problemType
    Indicates the specific category or classification of a problem within a defined problem space or system.
  • B. numberOfProblems
    Indicates the quantity or count of problems associated with a given entity or situation.
  • C. solved
    Indicates that one entity has successfully found a solution or answer to a problem, task, or challenge involving another entity.
  • D. hasFirstSolvedProblem
    Indicates that an entity is the first one to have successfully solved a particular problem.
  • E. problemStatement
    Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:54 a.m.