Triple

T2256607
Position Surface form Disambiguated ID Type / Status
Subject Joseph Sifakis E49740 entity
Predicate coRecipientWith P736 FINISHED
Object Edmund M. Clarke E46990 NE FINISHED

How this triple was built (2 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: Edmund M. Clarke | Statement: [Joseph Sifakis, coRecipientWith, Edmund M. Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund M. Clarke
Context triple: [Joseph Sifakis, coRecipientWith, Edmund M. Clarke]
  • A. Edmund M. Clarke chosen
    Edmund M. Clarke was an American computer scientist best known for co-inventing model checking, a breakthrough technique in formal verification that earned him the Turing Award.
  • B. Gerard J. Holzmann
    Gerard J. Holzmann is a computer scientist best known for creating the SPIN model checker and for his influential work in formal verification and software reliability.
  • C. Thomas A. Henzinger
    Thomas A. Henzinger is a prominent computer scientist known for his foundational work in formal verification, hybrid systems, and the theory of real-time and embedded systems.
  • D. Moshe Y. Vardi
    Moshe Y. Vardi is a prominent computer scientist known for his influential work in logic in computer science, database theory, and automated verification.
  • E. Leslie Valiant
    Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1570dc88190bb2b17ed4c25dbb5 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b2229288190a7da9025dc394e67 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.