Triple

T13930602
Position Surface form Disambiguated ID Type / Status
Subject Almost Christmas E334978 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: [Almost Christmas, castMember, Nicole Ari Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicole Ari Parker
Context triple: [Almost Christmas, 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. Justine Lupe
    Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c67e2c8190a14b273af0d93b0a completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.