Triple

T21986010
Position Surface form Disambiguated ID Type / Status
Subject Anne Flipo E542962 entity
Predicate notableWork P4 FINISHED
Object La Vie Est Belle — 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: La Vie Est Belle | Statement: [Anne Flipo, notableWork, La Vie Est Belle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Vie Est Belle
Context triple: [Anne Flipo, notableWork, La Vie Est Belle]
  • A. La Vie Est Belle chosen
    La Vie Est Belle is a popular women's fragrance by Lancôme known for its sweet, floral-gourmand scent and elegant, feminine character.
  • B. La Belle Vie
    La Belle Vie is a French-language film whose title translates to "The Good Life" in English.
  • C. La Vie
    La Vie is a French publication associated with the Catholic and Christian press, known for its coverage of social, cultural, and religious issues.
  • D. La Vie
    La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
  • E. Vivre sa vie
    Vivre sa vie is a 1962 French New Wave film by Jean-Luc Godard that follows a young woman’s descent into prostitution through a series of stylized, documentary-like vignettes.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12709cb288190a2620e337fea364c completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.