Triple

T13198143
Position Surface form Disambiguated ID Type / Status
Subject 74th British Academy Film Awards E314171 entity
Predicate bestActorInASupportingRoleWinner P8117 FINISHED
Object Daniel Kaluuya E130653 NE FINISHED

How this triple was built (3 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: Daniel Kaluuya | Statement: [74th British Academy Film Awards, bestActorInASupportingRoleWinner, Daniel Kaluuya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Kaluuya
Context triple: [74th British Academy Film Awards, bestActorInASupportingRoleWinner, Daniel Kaluuya]
  • A. Daniel Kaluuya chosen
    Daniel Kaluuya is a British actor acclaimed for his powerful performances in films such as "Get Out," "Black Panther," and "Judas and the Black Messiah."
  • B. Kingsley Ben-Adir
    Kingsley Ben-Adir is a British actor known for his acclaimed performances in film and television, including his portrayal of Malcolm X in "One Night in Miami..." and roles in series such as "The OA" and "Peaky Blinders."
  • C. Yahya Abdul-Mateen II
    Yahya Abdul-Mateen II is an American actor known for his roles in major films and TV series such as "Aquaman," "Watchmen," and "Candyman."
  • D. André Holland
    André Holland is an American actor known for his nuanced performances in film, television, and theater, including prominent roles in projects like "Moonlight" and "High Flying Bird."
  • E. Kelvin Harrison Jr.
    Kelvin Harrison Jr. is an American actor known for his acclaimed performances in films such as "Luce," "Waves," and "The Trial of the Chicago 7."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestActorInASupportingRoleWinner
Context triple: [74th British Academy Film Awards, bestActorInASupportingRoleWinner, Daniel Kaluuya]
  • A. bestSupportingActorWinner chosen
    Indicates that an entity has received the award for Best Supporting Actor for a particular work or event.
  • B. bestSupportingActorWinningFilm
    Indicates that a film is the one for which an actor won the Best Supporting Actor award.
  • C. bestSupportingActorFilm
    Indicates the film for which a person received the Best Supporting Actor award.
  • D. bestSupportingActressWinner
    Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
  • E. bestActorWinner
    Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
  • F. None of above.

Provenance (4 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f60ae01c8190aa7669d6f574df09 completed May 3, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69d98bc6bc108190b5a6a265bf6e9fd4 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:16 p.m.