Triple

T12869071
Position Surface form Disambiguated ID Type / Status
Subject Chappie E307799 entity
Predicate mainCharacter P1183 FINISHED
Object Vincent Moore E598558 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: Vincent Moore | Statement: [Chappie, mainCharacter, Vincent Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Moore
Context triple: [Chappie, mainCharacter, Vincent Moore]
  • A. Michael Ealy
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • B. Juel Taylor
    Juel Taylor is an American filmmaker and screenwriter best known for co-writing the boxing drama sequel "Creed II" and directing the satirical sci-fi film "They Cloned Tyrone."
  • C. Omar Epps chosen
    Omar Epps is an American actor and producer best known for his roles in films like "Love & Basketball" and the TV series "House."
  • D. Christopher Jackson
    Christopher Jackson is an American actor and singer best known for originating the role of George Washington in the Broadway musical "Hamilton."
  • E. Larenz Tate
    Larenz Tate is an American actor known for his roles in films like "Menace II Society," "Love Jones," and "Dead Presidents," as well as the TV series "Power."
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.