Triple

T8626001
Position Surface form Disambiguated ID Type / Status
Subject La Chinoise E204281 entity
Predicate stars P1956 FINISHED
Object Jean-Pierre Léaud E265022 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: Jean-Pierre Léaud | Statement: [La Chinoise, stars, Jean-Pierre Léaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Pierre Léaud
Context triple: [La Chinoise, stars, Jean-Pierre Léaud]
  • A. Jean-Pierre Léaud chosen
    Jean-Pierre Léaud is a renowned French actor closely associated with the French New Wave, particularly for his recurring role as Antoine Doinel in François Truffaut’s films.
  • B. Jean-Paul Belmondo
    Jean-Paul Belmondo was a charismatic French actor and icon of the French New Wave, renowned for his rebellious screen presence and influential roles in 1960s cinema.
  • C. Joseph Noiret
    Joseph Noiret was a Belgian poet, painter, and art critic best known as a founding figure of the postwar avant-garde COBRA movement.
  • D. Auguste Adjani
    Auguste Adjani was the father of acclaimed French actress Isabelle Adjani.
  • E. Michel Piccoli
    Michel Piccoli was a renowned French actor known for his nuanced performances in European art cinema, collaborating with directors such as Jean-Luc Godard, Luis Buñuel, and Marco Ferreri.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf425b8a2c81909b1f8ce5da6d36fd completed April 3, 2026, 4:30 a.m.
Created at: March 30, 2026, 6:26 p.m.