Triple

T19112047
Position Surface form Disambiguated ID Type / Status
Subject Robert Shostak E467811 entity
Predicate knownFor P22 FINISHED
Object Shostak decision procedure in automated reasoning NE NERFINISHED

How this triple was built (3 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: Shostak decision procedure in automated reasoning | Statement: [Robert Shostak, knownFor, Shostak decision procedure in automated reasoning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shostak decision procedure in automated reasoning
Context triple: [Robert Shostak, knownFor, Shostak decision procedure in automated reasoning]
  • 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. SPASS automated theorem prover
    SPASS automated theorem prover is a first-order logic theorem proving system known for its use of superposition calculus and its application in automated reasoning and formal verification.
  • C. Vampire automated theorem prover
    Vampire automated theorem prover is a high-performance first-order logic reasoning system widely used in automated deduction and formal verification research.
  • D. Handbook of Automated Reasoning
    The "Handbook of Automated Reasoning" is a comprehensive reference work that surveys the theories, methods, and tools used in the field of automated theorem proving and formal reasoning in computer science and logic.
  • E. Satisfiability Modulo Theories (SMT)
    Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shostak decision procedure in automated reasoning
Target entity description: The Shostak decision procedure in automated reasoning is an algorithmic framework for efficiently deciding the satisfiability of formulas in certain combinations of theories, particularly used in SMT (Satisfiability Modulo Theories) solvers.
  • 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. SPASS automated theorem prover
    SPASS automated theorem prover is a first-order logic theorem proving system known for its use of superposition calculus and its application in automated reasoning and formal verification.
  • C. Vampire automated theorem prover
    Vampire automated theorem prover is a high-performance first-order logic reasoning system widely used in automated deduction and formal verification research.
  • D. Handbook of Automated Reasoning
    The "Handbook of Automated Reasoning" is a comprehensive reference work that surveys the theories, methods, and tools used in the field of automated theorem proving and formal reasoning in computer science and logic.
  • E. Satisfiability Modulo Theories (SMT)
    Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
  • F. None of above. chosen

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.