Triple

T12301629
Position Surface form Disambiguated ID Type / Status
Subject Mayerling (1936 film) E293238 entity
Predicate leadActress P6108 FINISHED
Object Danielle Darrieux E890814 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: Danielle Darrieux | Statement: [Mayerling (1936 film), leadActress, Danielle Darrieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle Darrieux
Context triple: [Mayerling (1936 film), leadActress, Danielle Darrieux]
  • A. Danielle Darrieux chosen
    Danielle Darrieux was a celebrated French actress and singer whose career spanned over eight decades, making her one of France’s most enduring and versatile film stars.
  • 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. Annie Girardot
    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.
  • D. Hélène Brion
    Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.