Triple

T11016415
Position Surface form Disambiguated ID Type / Status
Subject CAV Award E260376 entity
Predicate notableRecipient P108 FINISHED
Object Amir Pnueli E260368 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: Amir Pnueli | Statement: [CAV Award, notableRecipient, Amir Pnueli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir Pnueli
Context triple: [CAV Award, notableRecipient, Amir Pnueli]
  • A. Amir Pnueli chosen
    Amir Pnueli was an Israeli computer scientist renowned for introducing temporal logic to computer science and for his pioneering work in formal verification, for which he received the Turing Award.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. David L. Parnas
    David L. Parnas is a pioneering software engineer and computer scientist best known for introducing key concepts in software modularity and information hiding that shaped modern software engineering.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a682908190b061d1995e2866b6 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c828b7848190be34a6ba1550d3f1 completed April 18, 2026, 6:06 p.m.
Created at: April 8, 2026, 9:25 p.m.