Triple

T2151845
Position Surface form Disambiguated ID Type / Status
Subject Rajeev Alur E47797 entity
Predicate coAuthor P398 FINISHED
Object Moshe Y. Vardi E48391 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: Moshe Y. Vardi | Statement: [Rajeev Alur, coAuthor, Moshe Y. Vardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moshe Y. Vardi
Context triple: [Rajeev Alur, coAuthor, Moshe Y. Vardi]
  • A. Moshe Y. Vardi chosen
    Moshe Y. Vardi is a prominent computer scientist known for his influential work in logic in computer science, database theory, and automated verification.
  • B. Jeffrey D. Ullman
    Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
  • C. Manuel Blum
    Manuel Blum is a Venezuelan-American computer scientist and Turing Award laureate renowned for his foundational contributions to computational complexity theory and cryptography.
  • D. Leslie Valiant
    Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
  • E. Edmund M. Clarke
    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.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dedd3c8190a876819616903392 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.