Triple

T11210381
Position Surface form Disambiguated ID Type / Status
Subject Huet unification algorithm E265288 entity
Predicate relatedTo P37 FINISHED
Object Robinson unification algorithm
The Robinson unification algorithm is the foundational procedure in automated theorem proving that computes the most general unifier of logical expressions, forming the basis of first-order logic resolution methods.
E911972 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: Robinson unification algorithm | Statement: [Huet unification algorithm, relatedTo, Robinson unification algorithm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robinson unification algorithm
Context triple: [Huet unification algorithm, relatedTo, Robinson unification algorithm]
  • A. Nelson–Oppen combination method
    The Nelson–Oppen combination method is a decision procedure framework that combines satisfiability solvers for different first-order theories to determine the satisfiability of formulas in their union.
  • B. Knuth–Bendix completion algorithm
    The Knuth–Bendix completion algorithm is a procedure in term rewriting and automated theorem proving that transforms a set of equations into a confluent rewriting system, enabling decision of word problems in algebraic structures.
  • C. Davis–Putnam algorithm
    The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
  • D. A Computing Procedure for Quantification Theory
    "A Computing Procedure for Quantification Theory" is a seminal 1960 paper by Martin Davis and Hilary Putnam that introduced the Davis–Putnam algorithm, laying foundational work for automated theorem proving and propositional satisfiability.
  • E. "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.
  • 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: Robinson unification algorithm
Triple: [Huet unification algorithm, relatedTo, Robinson unification algorithm]
Generated description
The Robinson unification algorithm is the foundational procedure in automated theorem proving that computes the most general unifier of logical expressions, forming the basis of first-order logic resolution methods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robinson unification algorithm
Target entity description: The Robinson unification algorithm is the foundational procedure in automated theorem proving that computes the most general unifier of logical expressions, forming the basis of first-order logic resolution methods.
  • A. Nelson–Oppen combination method
    The Nelson–Oppen combination method is a decision procedure framework that combines satisfiability solvers for different first-order theories to determine the satisfiability of formulas in their union.
  • B. Knuth–Bendix completion algorithm
    The Knuth–Bendix completion algorithm is a procedure in term rewriting and automated theorem proving that transforms a set of equations into a confluent rewriting system, enabling decision of word problems in algebraic structures.
  • C. Davis–Putnam algorithm
    The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
  • D. A Computing Procedure for Quantification Theory
    "A Computing Procedure for Quantification Theory" is a seminal 1960 paper by Martin Davis and Hilary Putnam that introduced the Davis–Putnam algorithm, laying foundational work for automated theorem proving and propositional satisfiability.
  • E. "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.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49747ec288190bc3e826b6de7f6f2 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.