Triple

T6126666
Position Surface form Disambiguated ID Type / Status
Subject Big Eyes E136611 entity
Predicate cinematographer P1953 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: [Big Eyes, cinematographer, Bruno Delbonnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Delbonnel
Context triple: [Big Eyes, cinematographer, 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. 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.
  • C. 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.
  • D. 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."
  • E. Philippe Sureau
    Philippe Sureau is a Canadian businessman best known as a co-founder of the leisure airline Air Transat.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2a13a48190b80e11d58fc87c8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135bd8d3881909873d2a063b3aecc completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.