Triple

T13606883
Position Surface form Disambiguated ID Type / Status
Subject Fanny Ardant E325084 entity
Predicate notableWork P4 FINISHED
Object 8 femmes E796619 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: 8 femmes | Statement: [Fanny Ardant, notableWork, 8 femmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 8 femmes
Context triple: [Fanny Ardant, notableWork, 8 femmes]
  • A. 8 Women chosen
    8 Women is a French musical comedy-mystery film that blends stylized theatrics, dark humor, and an ensemble cast of prominent actresses in a whodunit set in the 1950s.
  • B. Women
    "Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
  • C. 3 Women
    3 Women is a 1977 psychological drama film directed by Robert Altman that explores identity, personality shifts, and female relationships in a surreal, dreamlike small-town setting.
  • D. The Women’s
    The Women’s is a major specialist public hospital in Melbourne, Australia, dedicated to women’s health, maternity, and newborn care.
  • E. Ladies
    The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.