Triple
T4091805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landauer's principle |
E87719
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
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.
|
E413119
|
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: Bennett's logical reversibility | Statement: [Landauer's principle, relatedTo, Bennett's logical reversibility]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bennett's logical reversibility Context triple: [Landauer's principle, relatedTo, Bennett's logical reversibility]
-
A.
“Molecular computation of solutions to combinatorial problems”
“Molecular computation of solutions to combinatorial problems” is Leonard Adleman’s pioneering 1994 paper that introduced DNA computing by demonstrating how molecular biology techniques can solve a combinatorial search problem.
-
B.
Computing with Register Machines
"Computing with Register Machines" is a chapter in the classic computer science textbook *Structure and Interpretation of Computer Programs* that introduces low-level machine models and shows how higher-level language constructs can be implemented using simple register-based operations.
-
C.
Böhm–Jacopini theorem
The Böhm–Jacopini theorem is a foundational result in computer science stating that any computer program can be written using only sequence, selection, and iteration constructs, without requiring goto statements.
-
D.
The Universal Computer
The Universal Computer is a book by mathematician and logician Martin Davis that traces the history and development of the concept of computation and the universal Turing machine.
-
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: Bennett's logical reversibility Triple: [Landauer's principle, relatedTo, Bennett's logical reversibility]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bennett's logical reversibility Target entity description: 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.
-
A.
“Molecular computation of solutions to combinatorial problems”
“Molecular computation of solutions to combinatorial problems” is Leonard Adleman’s pioneering 1994 paper that introduced DNA computing by demonstrating how molecular biology techniques can solve a combinatorial search problem.
-
B.
Computing with Register Machines
"Computing with Register Machines" is a chapter in the classic computer science textbook *Structure and Interpretation of Computer Programs* that introduces low-level machine models and shows how higher-level language constructs can be implemented using simple register-based operations.
-
C.
Böhm–Jacopini theorem
The Böhm–Jacopini theorem is a foundational result in computer science stating that any computer program can be written using only sequence, selection, and iteration constructs, without requiring goto statements.
-
D.
The Universal Computer
The Universal Computer is a book by mathematician and logician Martin Davis that traces the history and development of the concept of computation and the universal Turing machine.
-
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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcae22a081908af65a960306b78c |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b69a7908190a53839f7ebfd011c |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56c29c72081909e6ef890dde593dd |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56ca671d0819097760161832998b0 |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:39 p.m.