Triple
T11173120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth McMillan |
E264333
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness
IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness is a seminal model checking algorithm introduced by Kenneth McMillan that incrementally builds inductive invariants to efficiently verify hardware and software system correctness.
|
E909017
|
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: IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness | Statement: [Kenneth McMillan, notableWork, IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness Context triple: [Kenneth McMillan, notableWork, IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness]
-
A.
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.
-
B.
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.
-
C.
Boyer–Moore theorem prover
The Boyer–Moore theorem prover is an influential automated reasoning system for first-order logic and recursive function theory, notable for pioneering techniques in mechanical proof and program verification.
-
D.
DPLL(T)
DPLL(T) is a framework that extends the classic DPLL SAT-solving algorithm with theory solvers to efficiently decide satisfiability modulo background theories such as arithmetic, arrays, or bit-vectors.
-
E.
Z3: An Efficient SMT Solver
Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
- 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: IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness Triple: [Kenneth McMillan, notableWork, IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness]
Generated description
IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness is a seminal model checking algorithm introduced by Kenneth McMillan that incrementally builds inductive invariants to efficiently verify hardware and software system correctness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness Target entity description: IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness is a seminal model checking algorithm introduced by Kenneth McMillan that incrementally builds inductive invariants to efficiently verify hardware and software system correctness.
-
A.
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.
-
B.
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.
-
C.
Boyer–Moore theorem prover
The Boyer–Moore theorem prover is an influential automated reasoning system for first-order logic and recursive function theory, notable for pioneering techniques in mechanical proof and program verification.
-
D.
DPLL(T)
DPLL(T) is a framework that extends the classic DPLL SAT-solving algorithm with theory solvers to efficiently decide satisfiability modulo background theories such as arithmetic, arrays, or bit-vectors.
-
E.
Z3: An Efficient SMT Solver
Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463c03a948190b0f40f657180c9bf |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.