Triple

T9234236
Position Surface form Disambiguated ID Type / Status
Subject Hotel du Nord E221894 entity
Predicate hasCastMember P2308 FINISHED
Object Arletty E788573 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: Arletty | Statement: [Hotel du Nord, hasCastMember, Arletty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arletty
Context triple: [Hotel du Nord, hasCastMember, Arletty]
  • A. Arletty chosen
    Arletty was a celebrated French actress and singer, renowned for her witty, worldly screen presence in classic 1930s and 1940s cinema.
  • B. Violette Nozière
    Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
  • C. Leslie Caron
    Leslie Caron is a French-American actress and dancer best known for her roles in classic Hollywood musicals such as "An American in Paris" and "Gigi."
  • D. Hélène Brion
    Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
  • E. 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.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c71e206c8190bcc0b7cee01fc765 completed April 4, 2026, 8:09 a.m.
Created at: March 30, 2026, 7:29 p.m.