Triple

T22100495
Position Surface form Disambiguated ID Type / Status
Subject Entre Nous E546156 entity
Predicate stars P1956 FINISHED
Object Miou-Miou 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: Miou-Miou | Statement: [Entre Nous, stars, Miou-Miou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miou-Miou
Context triple: [Entre Nous, stars, Miou-Miou]
  • A. Miou-Miou chosen
    Miou-Miou is a French actress known for her versatile performances in films such as "Going Places" and "Entre Nous," which established her as a prominent figure in European cinema.
  • B. Chéri
    Chéri is a 1920 novel by French author Colette that portrays the complex, bittersweet relationship between a young man and an older courtesan in Belle Époque Paris.
  • C. La Môme (film)
    La Môme (film) is a biographical drama about the life and career of iconic French singer Édith Piaf.
  • D. La Chinoise
    La Chinoise is a 1967 French New Wave film by Jean-Luc Godard that satirically explores youthful Maoist radicalism in Paris on the eve of the 1968 student protests.
  • E. Pour elle
    Pour elle is a 2008 French thriller film about a man who devises an elaborate plan to break his wrongfully imprisoned wife out of jail.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.