Triple

T22656033
Position Surface form Disambiguated ID Type / Status
Subject Fool's Fire (1992 film) E559226 entity
Predicate castMember P1668 FINISHED
Object Mireille Mosse 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: Mireille Mosse | Statement: [Fool's Fire (1992 film), castMember, Mireille Mosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mireille Mosse
Context triple: [Fool's Fire (1992 film), castMember, Mireille Mosse]
  • A. Mireille Mossé chosen
    Mireille Mossé is an actress known for her role in the visually distinctive French fantasy film "The City of Lost Children."
  • B. Brigitte Aron
    Brigitte Aron is known primarily as the daughter of the influential French philosopher, sociologist, and political commentator Raymond Aron.
  • C. Françoise Schein
    Françoise Schein is a Belgian-born artist and architect known for large-scale public artworks, often in metro stations, that integrate human rights themes and typographic design.
  • D. Michèle Bernstein
    Michèle Bernstein is a French writer and critic associated with the avant-garde Situationist movement and known for her experimental novels and role in Parisian intellectual circles.
  • E. Monique Dunan
    Monique Dunan was a costume designer known for her work on the film "Fedora."
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765b93dc8190a0357dd4b6ae524a completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.