Triple

T9232914
Position Surface form Disambiguated ID Type / Status
Subject Brooks E221862 entity
Predicate hasNotableBearer P458 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: [Brooks, hasNotableBearer, Avery Brooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avery Brooks
Context triple: [Brooks, hasNotableBearer, 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. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • E. 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."
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1a7e9881908e0c11f242162017 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077bb5b10819083fd2de3ed7d69a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.