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.