Triple

T21780741
Position Surface form Disambiguated ID Type / Status
Subject Bonjour Tristesse (film) E537704 entity
Predicate basedOnAuthor P2806 FINISHED
Object Françoise Sagan 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 Sagan | Statement: [Bonjour Tristesse (film), basedOnAuthor, Françoise Sagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Françoise Sagan
Context triple: [Bonjour Tristesse (film), basedOnAuthor, Françoise Sagan]
  • A. Françoise Sagan chosen
    Françoise Sagan was a French novelist, playwright, and screenwriter best known for her debut novel "Bonjour Tristesse," which she wrote as a teenager.
  • B. Patricia Michon
    Patricia Michon is an actress known for her role in the 1960 racial drama film "I Passed for White."
  • C. Georgette André Barry
    Georgette André Barry, better known by her stage name Andrea King, was a French-born American film and television actress active primarily in the 1940s and 1950s.
  • D. Colette Brosset
    Colette Brosset was a French actress and comedian known for her work in mid-20th-century film and theater, often appearing in musical comedies and farces.
  • E. Colette Capdevielle
    Colette Capdevielle is a French politician known for her involvement in centrist and independent political movements.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462cae6481908d3e7f71683d8921 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.