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.