Triple

T22047017
Position Surface form Disambiguated ID Type / Status
Subject Magali Noël E544787 entity
Predicate notableWork P4 FINISHED
Object Zazie dans le Métro — 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: Zazie dans le Métro | Statement: [Magali Noël, notableWork, Zazie dans le Métro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zazie dans le Métro
Context triple: [Magali Noël, notableWork, Zazie dans le Métro]
  • A. Zazie in the Metro chosen
    Zazie in the Metro is a 1960 French comedy film, based on Raymond Queneau’s novel, known for its anarchic humor and inventive visual style.
  • B. La Puce à l’oreille
    La Puce à l’oreille is a classic French farce by playwright Georges Feydeau, renowned for its intricate misunderstandings, rapid-fire dialogue, and expertly constructed comic situations.
  • C. Zazie
    Zazie is a German-American actress known for her roles in projects like the TV series "Atlanta" and the film "Deadpool 2."
  • D. Le Paysan de Paris
    Le Paysan de Paris is a surrealist prose work by Louis Aragon that blends poetic narrative, urban flânerie, and dreamlike reflections on Parisian life.
  • E. Le Ventre de Paris
    Le Ventre de Paris is a naturalist novel by Émile Zola that vividly portrays life around Paris’s central market, Les Halles, while exploring themes of social conflict, hunger, and abundance.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282f4a448190bca55348c457a4bd completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.