Triple

T18334302
Position Surface form Disambiguated ID Type / Status
Subject La Totale! E439228 entity
Predicate screenwriter P2831 FINISHED
Object Claude Zidi NE NERFINISHED

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: Claude Zidi | Statement: [La Totale!, screenwriter, Claude Zidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claude Zidi
Context triple: [La Totale!, screenwriter, Claude Zidi]
  • A. Claude Zidi chosen
    Claude Zidi is a French film director and screenwriter best known for his popular comedies and box-office hits from the 1970s through the 1990s.
  • B. Didier Zokora
    Didier Zokora is a retired Ivorian defensive midfielder best known for his long international career with Côte d'Ivoire and club spells at teams such as Tottenham Hotspur and Sevilla.
  • C. Chedly Zouiten
    Chedly Zouiten was a prominent Tunisian sports figure and football administrator after whom one of Tunis’s main stadiums is named.
  • D. Elyaz Zidane
    Elyaz Zidane is a French footballer and the youngest son of legendary former player and coach Zinedine Zidane.
  • E. Chedly Klibi
    Chedly Klibi was a Tunisian politician and statesman who served as Secretary-General of the Arab League and held several key cultural and governmental positions in Tunisia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.