Triple

T10494336
Position Surface form Disambiguated ID Type / Status
Subject Léon: The Professional E247495 entity
Predicate editedBy P1954 FINISHED
Object Sylvie Landra E854482 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: Sylvie Landra | Statement: [Léon: The Professional, editedBy, Sylvie Landra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvie Landra
Context triple: [Léon: The Professional, editedBy, Sylvie Landra]
  • A. Sylvie Landra chosen
    Sylvie Landra is a French film editor known for her work on major films such as Luc Besson’s science fiction blockbuster "The Fifth Element."
  • B. Emmanuelle Vaugier
    Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
  • C. Julie Le Brun
    Julie Le Brun was the daughter and frequent portrait subject of the renowned French painter Élisabeth Vigée Le Brun, often depicted in her mother's celebrated works.
  • D. Doriane Bécue
    Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
  • E. Joëlle Milquet
    Joëlle Milquet is a Belgian politician known for leading the centrist humanist party cdH and serving in several ministerial roles in the Belgian government.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5d1a2c81908a9bb8f1c55414fa completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:24 p.m.