Triple

T21722532
Position Surface form Disambiguated ID Type / Status
Subject Against All Odds E536195 entity
Predicate starring P1507 FINISHED
Object Dorian Harewood 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: Dorian Harewood | Statement: [Against All Odds, starring, Dorian Harewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorian Harewood
Context triple: [Against All Odds, starring, Dorian Harewood]
  • A. Dorian Harewood chosen
    Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
  • B. David Harewood
    David Harewood is a British actor known for his work in television series such as "Homeland" and "Supergirl" as well as numerous film and stage roles.
  • C. Michael York
    Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
  • D. Danny Huston
    Danny Huston is an American actor and director known for his character roles in films such as "The Constant Gardener," "X-Men Origins: Wolverine," and "Wonder Woman."
  • E. Ormond Beatty
    Ormond Beatty was a 19th-century American educator and academic administrator best known for serving as president of Centre College in Kentucky.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd97032c08190820b87a288e77293 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.