Triple

T20819661
Position Surface form Disambiguated ID Type / Status
Subject Bold Films E512538 entity
Predicate collaboratedWith P435 FINISHED
Object Damien Chazelle 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: Damien Chazelle | Statement: [Bold Films, collaboratedWith, Damien Chazelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damien Chazelle
Context triple: [Bold Films, collaboratedWith, Damien Chazelle]
  • A. Damien Chazelle chosen
    Damien Chazelle is an American filmmaker and screenwriter known for his stylish, music-driven dramas such as "Whiplash" and the Oscar-winning "La La Land."
  • B. Derek Cianfrance
    Derek Cianfrance is an American filmmaker known for his emotionally intense, character-driven dramas such as "Blue Valentine" and "The Place Beyond the Pines."
  • C. Alex Gansa
    Alex Gansa is an American television writer and producer best known for co-creating and showrunning the acclaimed political thriller series "Homeland."
  • D. Daniel Kwan
    Daniel Kwan is an American filmmaker best known as one half of the directing duo Daniels, who co-wrote and co-directed the acclaimed film "Everything Everywhere All at Once."
  • E. Craig Gillespie
    Craig Gillespie is an Australian-American film director known for character-driven comedies and dramas such as "Lars and the Real Girl" and the biographical film "I, Tonya."
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f6a65481909a0df78616e185e4 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.