Triple

T22768238
Position Surface form Disambiguated ID Type / Status
Subject Robert Bresson E563183 entity
Predicate notableWork P4 FINISHED
Object Au hasard Balthazar 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: Au hasard Balthazar | Statement: [Robert Bresson, notableWork, Au hasard Balthazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Au hasard Balthazar
Context triple: [Robert Bresson, notableWork, Au hasard Balthazar]
  • A. Au hasard Balthazar chosen
    Au hasard Balthazar is a 1966 French art-house drama film by Robert Bresson that follows the life and suffering of a donkey as a spiritual allegory of human cruelty and grace.
  • B. Le Crazy Horse de Paris
    Le Crazy Horse de Paris is a famous Parisian cabaret known for its avant-garde, artistically choreographed nude dance performances and sophisticated light shows.
  • C. La Bauche
    La Bauche is a small commune in the Savoie department of southeastern France, situated in the Alpine region of Auvergne-Rhône-Alpes.
  • D. Les Forains
    Les Forains is a 1945 ballet choreographed by Roland Petit that portrays the lives and struggles of traveling circus performers in a poetic, theatrical style.
  • E. Le Parisien
    Le Parisien is a major French daily newspaper known for its coverage of national and local news, sports, and culture, particularly in the Paris region.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.