Triple

T9958179
Position Surface form Disambiguated ID Type / Status
Subject Moni Naor E195495 entity
Predicate coAuthor P398 FINISHED
Object Amos Fiat E195496 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: Amos Fiat | Statement: [Moni Naor, coAuthor, Amos Fiat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amos Fiat
Context triple: [Moni Naor, coAuthor, Amos Fiat]
  • A. Amos Fiat chosen
    Amos Fiat is an Israeli computer scientist known for his influential work in cryptography, online algorithms, and algorithmic game theory.
  • B. Eli Azur
    Eli Azur is an Israeli media businessman known for owning and managing several prominent newspapers and media outlets.
  • C. Ronald Chammah
    Ronald Chammah is a Lebanese-born French film director and producer, best known for his work in European cinema and his long-term collaboration and marriage with actress Isabelle Huppert.
  • D. Shimon Lankri
    Shimon Lankri is an Israeli politician who has served as the long-time mayor of the coastal city of Akko (Acre).
  • E. Yossi Vardi
    Yossi Vardi is an Israeli high-tech entrepreneur, investor, and pioneer of the country's startup ecosystem, best known for backing early internet ventures such as ICQ.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cec7dc8190bb7e43c82a317707 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d7988948190bae81c1020f2b605 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.