Triple

T22269642
Position Surface form Disambiguated ID Type / Status
Subject Vertigo E550439 entity
Predicate musicVideoDirector P4911 FINISHED
Object Martin Fougerol 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: Martin Fougerol | Statement: [Vertigo, musicVideoDirector, Martin Fougerol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Fougerol
Context triple: [Vertigo, musicVideoDirector, Martin Fougerol]
  • A. Martin Fougerol chosen
    Martin Fougerol is a music video director known for his work on the video for the song "Vertigo."
  • B. Guy Roux
    Guy Roux is a legendary French football manager best known for his extraordinarily long and successful tenure at AJ Auxerre, where he developed the club from a small provincial side into a major force in French football.
  • C. Bruno Maréchal
    Bruno Maréchal is a French local politician serving as the mayor of the commune of Monchy-Saint-Éloi in northern France.
  • D. Christian Fouqué
    Christian Fouqué is an astronomer known for his work in extragalactic astronomy and for helping produce major galaxy catalogues used in observational cosmology.
  • E. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bf53a481909e2c79de4144f332 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.