Triple

T21229717
Position Surface form Disambiguated ID Type / Status
Subject Wing Commander (film) E523175 entity
Predicate cinematographyBy P1953 FINISHED
Object Thierry Arbogast 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: Thierry Arbogast | Statement: [Wing Commander (film), cinematographyBy, Thierry Arbogast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thierry Arbogast
Context triple: [Wing Commander (film), cinematographyBy, Thierry Arbogast]
  • A. Thierry Arbogast chosen
    Thierry Arbogast is a French cinematographer renowned for his long-standing collaboration with director Luc Besson on visually distinctive films.
  • B. Thierry Burkhard
    Thierry Burkhard is a French Army general who has served as France’s top military officer and a key figure in shaping the country’s contemporary defense policy and armed forces.
  • C. Didier Aldigier
    Didier Aldigier is a French local politician serving as the mayor of the commune of Pont-de-l’Isère in southeastern France.
  • D. Luc Teyssier
    Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
  • E. Didier Gauthier
    Didier Gauthier is an architect known for designing the LaSalle metro station.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.