Triple

T22274228
Position Surface form Disambiguated ID Type / Status
Subject Nelly et Monsieur Arnaud E550558 entity
Predicate castMember P1668 FINISHED
Object Françoise Brion 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: Françoise Brion | Statement: [Nelly et Monsieur Arnaud, castMember, Françoise Brion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Françoise Brion
Context triple: [Nelly et Monsieur Arnaud, castMember, Françoise Brion]
  • A. Françoise Brion chosen
    Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
  • B. Françoise Rosay
    Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
  • C. Françoise Fabian
    Françoise Fabian is a French actress renowned for her work in auteur cinema, particularly in the films of the French New Wave and European art-house directors.
  • D. Brigitte Poupart
    Brigitte Poupart is a Canadian actress and director known for her work in film, television, and theatre, including creative collaborations with Cirque du Soleil.
  • E. Micheline Presle
    Micheline Presle is a renowned French actress known for her prolific film and television career spanning from the 1940s onward.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.