Triple

T10071407
Position Surface form Disambiguated ID Type / Status
Subject Philippe Rousselot E213637 entity
Predicate name P16 FINISHED
Object Philippe Rousselot E213637 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: Philippe Rousselot | Statement: [Philippe Rousselot, name, Philippe Rousselot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Rousselot
Context triple: [Philippe Rousselot, name, Philippe Rousselot]
  • A. Philippe Rousselot chosen
    Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
  • B. Bruno Coulais
    Bruno Coulais is a French composer best known for his atmospheric and innovative film scores, particularly in European cinema and animation.
  • C. Philippe Kirsch
    Philippe Kirsch is a Canadian jurist and diplomat who served as the inaugural president of the International Criminal Court and played a key role in its founding.
  • D. Philippe Soupault
    Philippe Soupault was a French writer and poet who co-founded the Surrealist movement and played a crucial role in developing early 20th-century avant-garde literature.
  • E. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b63d13fc8190bdeac3c7b2529052 completed April 5, 2026, 7:21 p.m.
Created at: March 30, 2026, 8:59 p.m.