Triple

T9512697
Position Surface form Disambiguated ID Type / Status
Subject Angela Bassett as Ramonda E229438 entity
Predicate directorWorkedWith P45033 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: [Angela Bassett as Ramonda, directorWorkedWith, Ryan Coogler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Coogler
Context triple: [Angela Bassett as Ramonda, directorWorkedWith, 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986aa99c8190b2eaa7f9b111aa2e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a3e93a481908569a4ec80c834ab completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.