Triple

T9846384
Position Surface form Disambiguated ID Type / Status
Subject Cléo from 5 to 7 E239350 entity
Predicate partOf P40 FINISHED
Object Agnès Varda filmography E239344 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: Agnès Varda filmography | Statement: [Cléo from 5 to 7, partOf, Agnès Varda filmography]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnès Varda filmography
Context triple: [Cléo from 5 to 7, partOf, Agnès Varda filmography]
  • A. Agnès Varda chosen
    Agnès Varda was a pioneering French filmmaker and artist whose innovative, humanistic films made her a central figure of the French New Wave and a major influence on modern cinema.
  • B. Le Cinéma
    Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
  • C. Catherine Breillat
    Catherine Breillat is a French filmmaker and novelist known for her provocative, boundary-pushing explorations of sexuality, gender, and power.
  • D. Maïwenn
    Maïwenn is a French actress and filmmaker known for her intense, character-driven dramas and acclaimed direction in contemporary French cinema.
  • E. Duras
    Duras is a traditional red wine grape variety from southwest France, known for producing deeply colored, spicy wines with moderate tannins.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.