Triple

T2352374
Position Surface form Disambiguated ID Type / Status
Subject Othello (1995 film) E47476 entity
Predicate portrayedBy P1507 FINISHED
Object Irène Jacob E278972 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: Irène Jacob | Statement: [Othello (1995 film), portrayedBy, Irène Jacob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irène Jacob
Context triple: [Othello (1995 film), portrayedBy, Irène Jacob]
  • A. Irène Jacob chosen
    Irène Jacob is a French-Swiss actress acclaimed for her nuanced performances in European art cinema, particularly in films by director Krzysztof Kieślowski.
  • B. Eliette Mouret
    Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
  • C. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • D. Micheline Ostermeyer
    Micheline Ostermeyer was a French athlete and concert pianist renowned for winning multiple track and field medals at the 1948 Olympic Games.
  • E. Suzanne Déchevaux-Dumesnil
    Suzanne Déchevaux-Dumesnil was a French tennis player and longtime partner and later wife of writer Samuel Beckett, known for her crucial support of his life and work.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af836559908190800f3be44aecd82f completed March 10, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:54 p.m.