Triple

T6953894
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Sisko E161192 entity
Predicate portrayedBy P1507 FINISHED
Object Avery Brooks E346445 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: Avery Brooks | Statement: [Benjamin Sisko, portrayedBy, Avery Brooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avery Brooks
Context triple: [Benjamin Sisko, portrayedBy, Avery Brooks]
  • A. Avery Brooks chosen
    Avery Brooks is an American actor and director best known for his role as Captain Benjamin Sisko on the television series "Star Trek: Deep Space Nine."
  • B. Harold Perrineau
    Harold Perrineau is an American actor best known for his roles in the television series "Lost" and "Oz," as well as numerous film and stage performances.
  • C. Isaiah Washington
    Isaiah Washington is an American actor best known for his role as Dr. Preston Burke on the television series "Grey's Anatomy" and for his performances in films such as "Clockers" and "Get on the Bus."
  • D. Jeffrey Jones
    Jeffrey Jones is an American character actor best known for his roles in films such as "Ferris Bueller's Day Off," "Beetlejuice," and "Amadeus."
  • E. Dennis Haysbert
    Dennis Haysbert is an American actor known for his deep voice and prominent roles in film and television, including "24," "Major League," and numerous commercial campaigns.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7618afb0c8190b1545328c1cee5de completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:29 p.m.