Triple

T10630862
Position Surface form Disambiguated ID Type / Status
Subject Doron Peled E250447 entity
Predicate hasAcademicAdvisor P167 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: [Doron Peled, hasAcademicAdvisor, Amir Pnueli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir Pnueli
Context triple: [Doron Peled, hasAcademicAdvisor, 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a3e0e1481909c277be4c12b46ea completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:01 p.m.