Triple

T10944826
Position Surface form Disambiguated ID Type / Status
Subject Louis Malle E258566 entity
Predicate directed P7373 FINISHED
Object Zazie in the Metro E895573 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: Zazie in the Metro | Statement: [Louis Malle, directed, Zazie in the Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zazie in the Metro
Context triple: [Louis Malle, directed, Zazie in the Metro]
  • 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. Zazie
    Zazie is a German-American actress known for her roles in projects like the TV series "Atlanta" and the film "Deadpool 2."
  • C. 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.
  • D. 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.
  • E. Sous le ciel de Paris
    Sous le ciel de Paris is a classic French chanson, famously interpreted by Juliette Gréco, that evokes the romantic and poetic atmosphere of Paris.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d722972c8190b14637dc9e52ce11 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.