Triple

T20550392
Position Surface form Disambiguated ID Type / Status
Subject Zoe (film) E504580 entity
Predicate starring P1507 FINISHED
Object Léa Seydoux 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: Léa Seydoux | Statement: [Zoe (film), starring, Léa Seydoux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léa Seydoux
Context triple: [Zoe (film), starring, Léa Seydoux]
  • A. Lea Seydoux chosen
    Léa Seydoux is a French actress known for her roles in films such as "Blue Is the Warmest Colour," multiple James Bond movies, and various international arthouse and blockbuster productions.
  • B. Nicolas Seydoux
    Nicolas Seydoux is a French film industry executive and producer, notably associated with the Gaumont film company and part of a prominent cinematic family.
  • C. Ariane Labed
    Ariane Labed is a French-Greek actress known for her work in art-house and independent cinema, often collaborating with acclaimed directors in critically praised films.
  • D. Adèle Haenel
    Adèle Haenel is a French actress acclaimed for her powerful performances in independent and arthouse cinema, notably in films like "Portrait of a Lady on Fire."
  • E. Sofia Boutella
    Sofia Boutella is an Algerian-French dancer and actress known for her dynamic action roles in films such as "Kingsman: The Secret Service," "Star Trek Beyond," and "The Mummy."
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d739bc8190b2bf60f82d2ade0c completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.