Triple

T11236365
Position Surface form Disambiguated ID Type / Status
Subject Hidden (Caché) E265950 entity
Predicate stars P1956 FINISHED
Object Annie Girardot E566810 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: Annie Girardot | Statement: [Hidden (Caché), stars, Annie Girardot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie Girardot
Context triple: [Hidden (Caché), stars, Annie Girardot]
  • A. Annie Girardot chosen
    Annie Girardot was a celebrated French film and theater actress known for her emotionally powerful performances and enduring popularity from the 1960s through the 1990s.
  • B. Simone Signoret
    Simone Signoret was an acclaimed French actress and Academy Award winner, renowned for her powerful performances in mid-20th-century European cinema.
  • C. Hélène Brion
    Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
  • D. 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.
  • E. Marie Trintignant
    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.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3eca6bc8190bc0640353a505ad5 completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:30 p.m.