Triple

T21866229
Position Surface form Disambiguated ID Type / Status
Subject The Sweet Life E539889 entity
Predicate castMember P1668 FINISHED
Object Anouk Aimée 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: Anouk Aimée | Statement: [The Sweet Life, castMember, Anouk Aimée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anouk Aimée
Context triple: [The Sweet Life, castMember, Anouk Aimée]
  • A. Anouk Aimée chosen
    Anouk Aimée was a celebrated French actress known for her enigmatic screen presence and acclaimed performances in films such as "La Dolce Vita" and "A Man and a Woman."
  • B. Violette Verdy
    Violette Verdy was a renowned French ballerina, teacher, and former director of the Paris Opera Ballet, celebrated for her musicality, wit, and long association with the New York City Ballet.
  • C. Louise Chevalier
    Louise Chevalier is an actress known for her role in the French film "Les Noces rouges" ("The Red Wedding").
  • D. Yolande Moreau
    Yolande Moreau is a Belgian actress, comedian, and filmmaker known for her acclaimed performances in French-language cinema and her distinctive blend of humor and poignancy.
  • E. Françoise Fabian
    Françoise Fabian is a French actress renowned for her work in auteur cinema, particularly in the films of the French New Wave and European art-house directors.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63f2ec48190956a3e99d8f98b1f completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.