Triple

T21898034
Position Surface form Disambiguated ID Type / Status
Subject William Petersen as Will Graham E540730 entity
Predicate filmMusicBy P37392 FINISHED
Object Michel Rubini 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: Michel Rubini | Statement: [William Petersen as Will Graham, filmMusicBy, Michel Rubini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Rubini
Context triple: [William Petersen as Will Graham, filmMusicBy, Michel Rubini]
  • A. Michel Rubini chosen
    Michel Rubini is an American composer and keyboardist best known for his atmospheric film and television scores, including his work on Michael Mann’s thriller "Manhunter."
  • B. Michel Tognini
    Michel Tognini is a French Air Force test pilot and former CNES/ESA astronaut who flew on two Space Shuttle missions in the 1990s.
  • C. Michel Oreste
    Michel Oreste was a Haitian politician who briefly served as the country's president during a period of significant political instability in the early 20th century.
  • D. Stéphane Reggiani
    Stéphane Reggiani was the son of renowned Italian-French actor and singer Serge Reggiani, known primarily in relation to his father's artistic legacy.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc7c70c81908b9bb4de68616e41 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.