Triple

T16876077
Position Surface form Disambiguated ID Type / Status
Subject Une affaire de femmes E421301 entity
Predicate stars P1956 FINISHED
Object François Cluzet E384212 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: François Cluzet | Statement: [Une affaire de femmes, stars, François Cluzet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François Cluzet
Context triple: [Une affaire de femmes, stars, François Cluzet]
  • A. François Cluzet chosen
    François Cluzet is a French actor acclaimed for his versatile performances in film and television, notably in the hit drama "The Intouchables."
  • B. Jean-Luc Ourgaud
    Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
  • C. Michel Bouquet
    Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
  • D. François Durif
    François Durif was a French grape breeder best known for creating the Petite Sirah (Durif) wine grape variety in the 19th century.
  • E. Jean-Claude Olivier
    Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232992ec81909dbbd2e28111e8f4 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:29 a.m.