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.