Triple

T10796594
Position Surface form Disambiguated ID Type / Status
Subject Francis Veber E254722 entity
Predicate notableWork P4 FINISHED
Object Le Jouet E249817 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: Le Jouet | Statement: [Francis Veber, notableWork, Le Jouet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Jouet
Context triple: [Francis Veber, notableWork, Le Jouet]
  • A. Le Jouet chosen
    Le Jouet is a 1976 French comedy film directed by Francis Veber, known for its satirical take on consumerism and the relationship between a spoiled rich child and the man bought to be his "toy."
  • B. Le Joujou du pauvre
    Le Joujou du pauvre is a short prose poem by Charles Baudelaire that contrasts the playthings of rich and poor children to explore themes of poverty, envy, and human compassion.
  • C. El Juguetillo
    El Juguetillo is a written work by Mexican historian and politician Carlos María de Bustamante, reflecting his intellectual and literary contributions in the early 19th century.
  • D. Jeux d’enfants
    Jeux d’enfants is a suite of short, playful piano pieces by Georges Bizet that charmingly depict various scenes of childhood.
  • E. The Toy
    The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73332dbfc8190904434846957b618 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.