Triple

T16876078
Position Surface form Disambiguated ID Type / Status
Subject Une affaire de femmes E421301 entity
Predicate stars P1956 FINISHED
Object Marie Trintignant E572456 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: Marie Trintignant | Statement: [Une affaire de femmes, stars, Marie Trintignant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Trintignant
Context triple: [Une affaire de femmes, stars, Marie Trintignant]
  • A. Marie Trintignant chosen
    Marie Trintignant was a French actress known for her intense, emotionally charged performances in film, television, and theater before her life was tragically cut short.
  • B. Delphine Seyrig
    Delphine Seyrig was a renowned French actress known for her roles in influential European art films of the 1960s and 1970s, including collaborations with directors like Alain Resnais and Chantal Akerman.
  • C. Hélène Brion
    Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
  • D. Simone Signoret
    Simone Signoret was an acclaimed French actress and Academy Award winner, renowned for her powerful performances in mid-20th-century European cinema.
  • E. Jeanne Moreau
    Jeanne Moreau was a celebrated French actress and director, renowned for her complex, magnetic performances in films of the French New Wave and beyond.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4544124819080f20df1daa3f9ed completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:29 a.m.