Triple

T10553780
Position Surface form Disambiguated ID Type / Status
Subject Beauty Shop E249021 entity
Predicate stars P1956 FINISHED
Object Golden Brooks E865511 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: Golden Brooks | Statement: [Beauty Shop, stars, Golden Brooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Brooks
Context triple: [Beauty Shop, stars, Golden Brooks]
  • A. Golden Brooks chosen
    Golden Brooks is an American actress best known for her role as Maya Wilkes on the television sitcom "Girlfriends."
  • B. Paul Brooks
    Paul Brooks is a British film producer known for his work on popular romantic comedies and genre films, including "The Wedding Date."
  • C. Paul Brooks
    Paul Brooks is known primarily as the husband of civil rights activist and Freedom Rider Catherine Burks-Brooks.
  • D. Rand Brooks
    Rand Brooks was an American film and television actor best known for his roles in classic Hollywood productions such as "Gone with the Wind" and numerous Westerns.
  • E. Jon Burroughs
    Jon Burroughs is the shy, aspiring musician and narrator of the offbeat comedy-drama film "Frank," whose creative journey is shaped by his involvement with an eccentric experimental band led by the enigmatic, papier-mâché-headed Frank.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d527118da081909ca61bc555a17609 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9346f6a38819087647e7a09f40c41 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.