Triple

T14860115
Position Surface form Disambiguated ID Type / Status
Subject Deutsch–Jozsa algorithm E349464 entity
Predicate relatedTo P37 FINISHED
Object Bernstein–Vazirani algorithm
The Bernstein–Vazirani algorithm is a quantum algorithm that efficiently determines a hidden binary string using a single query to an oracle, illustrating quantum speedup over classical methods.
E1124192 NE FINISHED

How this triple was built (4 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: Bernstein–Vazirani algorithm | Statement: [Deutsch–Jozsa algorithm, relatedTo, Bernstein–Vazirani algorithm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernstein–Vazirani algorithm
Context triple: [Deutsch–Jozsa algorithm, relatedTo, Bernstein–Vazirani algorithm]
  • 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. Bennett–Brassard 1984 protocol
    The Bennett–Brassard 1984 protocol is the first quantum key distribution scheme, using quantum properties of photons to enable two parties to establish a shared secret key with security guaranteed by the laws of quantum mechanics.
  • C. 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.
  • D. Benettin algorithm
    The Benettin algorithm is a numerical method used in dynamical systems theory to estimate Lyapunov exponents, which quantify the rate of separation of nearby trajectories and indicate chaos.
  • E. 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.
  • 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: Bernstein–Vazirani algorithm
Triple: [Deutsch–Jozsa algorithm, relatedTo, Bernstein–Vazirani algorithm]
Generated description
The Bernstein–Vazirani algorithm is a quantum algorithm that efficiently determines a hidden binary string using a single query to an oracle, illustrating quantum speedup over classical methods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bernstein–Vazirani algorithm
Target entity description: The Bernstein–Vazirani algorithm is a quantum algorithm that efficiently determines a hidden binary string using a single query to an oracle, illustrating quantum speedup over classical methods.
  • 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. Bennett–Brassard 1984 protocol
    The Bennett–Brassard 1984 protocol is the first quantum key distribution scheme, using quantum properties of photons to enable two parties to establish a shared secret key with security guaranteed by the laws of quantum mechanics.
  • C. 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.
  • D. Benettin algorithm
    The Benettin algorithm is a numerical method used in dynamical systems theory to estimate Lyapunov exponents, which quantify the rate of separation of nearby trajectories and indicate chaos.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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.
Created at: April 10, 2026, 1:54 a.m.