Triple

T12797750
Position Surface form Disambiguated ID Type / Status
Subject Scott Aaronson E305932 entity
Predicate notableWork P4 FINISHED
Object Limits on Efficient Computation in the Physical World
"Limits on Efficient Computation in the Physical World" is a research work by Scott Aaronson that explores how the laws of physics constrain what can be computed efficiently, particularly in the context of quantum computing and complexity theory.
E1002077 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: Limits on Efficient Computation in the Physical World | Statement: [Scott Aaronson, notableWork, Limits on Efficient Computation in the Physical World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limits on Efficient Computation in the Physical World
Context triple: [Scott Aaronson, notableWork, Limits on Efficient Computation in the Physical World]
  • A. “Probabilistic computations: Toward a unified measure of complexity”
    “Probabilistic computations: Toward a unified measure of complexity” is a seminal research paper by Andrew Yao that laid foundational concepts in computational complexity theory, particularly regarding the role and analysis of randomness in algorithms.
  • B. Computational Complexity: A Conceptual Perspective
    Computational Complexity: A Conceptual Perspective is a graduate-level textbook that presents the foundations and key themes of computational complexity theory with an emphasis on conceptual understanding over technical detail.
  • C. Bennett's logical reversibility
    Bennett's logical reversibility is a concept in computation theory stating that computational processes can be designed so that each step is logically reversible, allowing information to be recovered and, in principle, computation to occur without energy dissipation.
  • D. Randomness and Computation
    "Randomness and Computation" is Shafi Goldwasser's influential doctoral thesis that helped lay the foundations of modern complexity theory and cryptography by rigorously exploring the role of randomness in efficient computation.
  • E. Blum complexity measures
    Blum complexity measures are a formal framework in computational complexity theory that rigorously define and compare the resource usage (such as time or space) of algorithms via axiomatic conditions.
  • 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: Limits on Efficient Computation in the Physical World
Triple: [Scott Aaronson, notableWork, Limits on Efficient Computation in the Physical World]
Generated description
"Limits on Efficient Computation in the Physical World" is a research work by Scott Aaronson that explores how the laws of physics constrain what can be computed efficiently, particularly in the context of quantum computing and complexity theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Limits on Efficient Computation in the Physical World
Target entity description: "Limits on Efficient Computation in the Physical World" is a research work by Scott Aaronson that explores how the laws of physics constrain what can be computed efficiently, particularly in the context of quantum computing and complexity theory.
  • A. “Probabilistic computations: Toward a unified measure of complexity”
    “Probabilistic computations: Toward a unified measure of complexity” is a seminal research paper by Andrew Yao that laid foundational concepts in computational complexity theory, particularly regarding the role and analysis of randomness in algorithms.
  • B. Computational Complexity: A Conceptual Perspective
    Computational Complexity: A Conceptual Perspective is a graduate-level textbook that presents the foundations and key themes of computational complexity theory with an emphasis on conceptual understanding over technical detail.
  • C. Bennett's logical reversibility
    Bennett's logical reversibility is a concept in computation theory stating that computational processes can be designed so that each step is logically reversible, allowing information to be recovered and, in principle, computation to occur without energy dissipation.
  • D. Randomness and Computation
    "Randomness and Computation" is Shafi Goldwasser's influential doctoral thesis that helped lay the foundations of modern complexity theory and cryptography by rigorously exploring the role of randomness in efficient computation.
  • E. Blum complexity measures
    Blum complexity measures are a formal framework in computational complexity theory that rigorously define and compare the resource usage (such as time or space) of algorithms via axiomatic conditions.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6f858c8190915ede38e9a6a2df completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850d6ebc8190aaffcac09f4b15eb completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:30 p.m.