Triple

T5234079
Position Surface form Disambiguated ID Type / Status
Subject Melvin Fitting E118179 entity
Predicate knownFor P22 FINISHED
Object Kripke–Kleene semantics in logic programming
Kripke–Kleene semantics in logic programming is a three-valued, fixed-point-based approach to interpreting logic programs that captures partial or undefined information without committing to classical true/false evaluations.
E504786 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: Kripke–Kleene semantics in logic programming | Statement: [Melvin Fitting, knownFor, Kripke–Kleene semantics in logic programming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kripke–Kleene semantics in logic programming
Context triple: [Melvin Fitting, knownFor, Kripke–Kleene semantics in logic programming]
  • A. Kleene strong three-valued logic
    Kleene strong three-valued logic is a non-classical logical system that extends classical logic with a third truth value to rigorously handle indeterminate or partially defined statements.
  • B. The Logic of Computer Programming
    The Logic of Computer Programming is a foundational textbook in theoretical computer science that rigorously develops methods for specifying, proving, and reasoning about the correctness of computer programs.
  • C. Logical Methods in Computer Science
    Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
  • D. "The Complexity of Theorem-Proving Procedures"
    "The Complexity of Theorem-Proving Procedures" is Stephen Cook’s landmark 1971 paper that introduced the concept of NP-completeness and proved the Boolean satisfiability problem (SAT) to be NP-complete, laying the foundation for modern computational complexity theory.
  • E. Kripke fixed-point theory of truth
    The Kripke fixed-point theory of truth is a semantic framework developed by Saul Kripke that uses partial truth predicates and fixed points to consistently handle self-referential sentences and semantic paradoxes like the liar paradox.
  • 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: Kripke–Kleene semantics in logic programming
Triple: [Melvin Fitting, knownFor, Kripke–Kleene semantics in logic programming]
Generated description
Kripke–Kleene semantics in logic programming is a three-valued, fixed-point-based approach to interpreting logic programs that captures partial or undefined information without committing to classical true/false evaluations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kripke–Kleene semantics in logic programming
Target entity description: Kripke–Kleene semantics in logic programming is a three-valued, fixed-point-based approach to interpreting logic programs that captures partial or undefined information without committing to classical true/false evaluations.
  • A. Kleene strong three-valued logic
    Kleene strong three-valued logic is a non-classical logical system that extends classical logic with a third truth value to rigorously handle indeterminate or partially defined statements.
  • B. The Logic of Computer Programming
    The Logic of Computer Programming is a foundational textbook in theoretical computer science that rigorously develops methods for specifying, proving, and reasoning about the correctness of computer programs.
  • C. Logical Methods in Computer Science
    Logical Methods in Computer Science is a peer-reviewed open-access journal focusing on theoretical computer science, particularly logic and its applications to computer science.
  • D. "The Complexity of Theorem-Proving Procedures"
    "The Complexity of Theorem-Proving Procedures" is Stephen Cook’s landmark 1971 paper that introduced the concept of NP-completeness and proved the Boolean satisfiability problem (SAT) to be NP-complete, laying the foundation for modern computational complexity theory.
  • E. Kripke fixed-point theory of truth
    The Kripke fixed-point theory of truth is a semantic framework developed by Saul Kripke that uses partial truth predicates and fixed points to consistently handle self-referential sentences and semantic paradoxes like the liar paradox.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b04c03481908d901788ce2c4128 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef818f31c8190a26950dcd9d6a895 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8fb7df08190b3256bbdaf6869df completed March 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69bef97aa65481908fdce31cf5a7a0c1 completed March 21, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:49 p.m.