Triple

T23061848
Position Surface form Disambiguated ID Type / Status
Subject Pour elle E574922 entity
Predicate title P38 FINISHED
Object Pour elle 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: Pour elle | Statement: [Pour elle, title, Pour elle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pour elle
Context triple: [Pour elle, title, Pour elle]
  • A. Pour elle chosen
    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.
  • B. Le Prénom
    Le Prénom is a popular French stage play and film adaptation, best known as a sharp, comedic drama centered on a family dinner that spirals into conflict over the choice of a baby’s name.
  • C. Les Amoureuses
    Les Amoureuses is one of Burgundy’s most celebrated and sought-after Premier Cru vineyards, renowned for producing exceptionally elegant and perfumed Pinot Noir wines.
  • D. D’eux
    D’eux is a hugely successful French-language studio album by Canadian singer Celine Dion, widely regarded as one of the best-selling Francophone albums of all time.
  • E. Mademoiselle
    Mademoiselle was a traditional French honorific title historically used to address or refer to an unmarried woman, especially in aristocratic and courtly contexts.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899ff96081908d89a07a3b1065c8 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.