Triple

T21430275
Position Surface form Disambiguated ID Type / Status
Subject 42 (film) E528664 entity
Predicate stars P1956 FINISHED
Object Nicole Beharie 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: Nicole Beharie | Statement: [42 (film), stars, Nicole Beharie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicole Beharie
Context triple: [42 (film), stars, Nicole Beharie]
  • A. Nicole Beharie chosen
    Nicole Beharie is an American actress known for her powerful performances in film and television, including notable roles in projects like "Shame," "42," and the series "Sleepy Hollow."
  • B. Yaya DaCosta
    Yaya DaCosta is an American actress and model known for her work in film, television, and fashion, including roles in "America's Next Top Model," "The Butler," and "Chicago Med."
  • C. Jasmine Cephas Jones
    Jasmine Cephas Jones is an American actress and singer best known for originating the dual roles of Peggy Schuyler and Maria Reynolds in the Broadway musical "Hamilton."
  • D. Mamoudou Athie
    Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
  • E. Jessika Williams
    Jessika Williams is an actress known for appearing in the Doctor Who episode "Forest of the Dead."
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.