Triple

T10445811
Position Surface form Disambiguated ID Type / Status
Subject Creed (film score) E246282 entity
Predicate associatedWithDirector P19638 FINISHED
Object Ryan Coogler E47490 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: Ryan Coogler | Statement: [Creed (film score), associatedWithDirector, Ryan Coogler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Coogler
Context triple: [Creed (film score), associatedWithDirector, Ryan Coogler]
  • A. Ryan Coogler chosen
    Ryan Coogler is an American filmmaker known for directing critically acclaimed films such as "Fruitvale Station," "Creed," and Marvel's "Black Panther."
  • B. Jon Watts
    Jon Watts is an American filmmaker best known for directing Marvel Studios and Sony’s recent Spider-Man trilogy starring Tom Holland.
  • C. Rupert Sanders
    Rupert Sanders is a British film director best known for making his feature debut with the dark fantasy film "Snow White and the Huntsman."
  • D. Simon Kinberg
    Simon Kinberg is a British-born American screenwriter and producer best known for his extensive work on the X-Men film franchise and other major Hollywood blockbusters.
  • E. Damien Chazelle
    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."
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:16 p.m.