Triple

T2384372
Position Surface form Disambiguated ID Type / Status
Subject Zohar Manna E46383 entity
Predicate coAuthorWith P398 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: [Zohar Manna, coAuthorWith, Amir Pnueli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir Pnueli
Context triple: [Zohar Manna, coAuthorWith, 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. Leslie Lamport
    Leslie Lamport is an American computer scientist renowned for his foundational work in distributed systems, concurrency, and formal methods, including the development of the Paxos consensus algorithm and the LaTeX document preparation system.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bc87d0819090cd9d19d748bcc3 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3ccec008190b21c0bf84f8ecd09 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.