Triple

T10908255
Position Surface form Disambiguated ID Type / Status
Subject Zinzi Evans E257625 entity
Predicate notableRelative P367 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: [Zinzi Evans, notableRelative, Ryan Coogler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Coogler
Context triple: [Zinzi Evans, notableRelative, 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706824d08190ba894d144cc6b3ba completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6e88e508190a1bcd90cc67cbbbf completed April 18, 2026, 8:17 p.m.
Created at: April 8, 2026, 9:22 p.m.