Triple

T17020428
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre Kahane E412932 entity
Predicate familyName P18 FINISHED
Object Kahane E802456 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: Kahane | Statement: [Jean-Pierre Kahane, familyName, Kahane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kahane
Context triple: [Jean-Pierre Kahane, familyName, Kahane]
  • A. Kahane chosen
    Kahane is a surname and variant of "Kagan" commonly associated with Jewish families and notable figures in religious, political, and cultural spheres.
  • B. Avigdor Kahalani
    Avigdor Kahalani is an Israeli politician and highly decorated former Israel Defense Forces officer, renowned for his leadership in the Yom Kippur War and later service in various ministerial roles.
  • C. Nathan Kahane
    Nathan Kahane is a film producer and studio executive known for backing numerous successful Hollywood comedies and genre films.
  • D. Yitzhak Kahan
    Yitzhak Kahan was an Israeli jurist who served as President of the Supreme Court of Israel and chaired the commission that investigated the Sabra and Shatila massacre.
  • E. Ehud Shabtai
    Ehud Shabtai is an Israeli software engineer and entrepreneur best known as the co-founder and chief architect of the GPS-based navigation app Waze.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d482c3a0819099e6ea4acb0a08ee completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.