Triple

T10553963
Position Surface form Disambiguated ID Type / Status
Subject One on One E249025 entity
Predicate castMember P1668 FINISHED
Object Nicole Ari Parker E579913 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: Nicole Ari Parker | Statement: [One on One, castMember, Nicole Ari Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicole Ari Parker
Context triple: [One on One, castMember, Nicole Ari Parker]
  • A. Nicole Ari Parker chosen
    Nicole Ari Parker is an American actress known for her roles in film and television, including prominent performances in romantic comedies and dramas.
  • B. Nia Long
    Nia Long is an American actress known for her roles in films like "Boyz n the Hood," "Love Jones," and "The Best Man," as well as the TV series "The Fresh Prince of Bel-Air."
  • C. Nicole Avant
    Nicole Avant is an American film producer, former U.S. Ambassador to the Bahamas, and daughter of influential music executive Clarence Avant.
  • D. Nicolette Robinson
    Nicolette Robinson is an American actress and singer known for her work on television and Broadway, including starring in the musical "Waitress."
  • E. Sharley Hudson
    Sharley Hudson was the wife of American character actor Keenan Wynn.
  • 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_69d97a10f17081909fd9465cf35685a1 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:34 p.m.