Triple

T13473074
Position Surface form Disambiguated ID Type / Status
Subject Bruno Delbonnel E318178 entity
Predicate name P16 FINISHED
Object Bruno Delbonnel E318178 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: Bruno Delbonnel | Statement: [Bruno Delbonnel, name, Bruno Delbonnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Delbonnel
Context triple: [Bruno Delbonnel, name, Bruno Delbonnel]
  • A. Bruno Delbonnel chosen
    Bruno Delbonnel is an acclaimed French cinematographer known for his distinctive, atmospheric visual style in films such as Amélie, Harry Potter and the Half-Blood Prince, and Inside Llewyn Davis.
  • B. Olivier Coipel
    Olivier Coipel is a French comic book artist best known for his dynamic work at Marvel Comics on titles such as Thor, House of M, and major crossover events.
  • C. Raoul Meyer
    Raoul Meyer is a Swiss race car driver and businessman best known for his high-profile marriage to actress and model Brigitte Nielsen.
  • D. Jean-Marc Eustache
    Jean-Marc Eustache is a Canadian businessman best known as a co-founder and longtime leader of the travel company Transat A.T., parent of airline Air Transat.
  • E. Fabrice Du Welz
    Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462d97688190b5b817fff5973ceb completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.