Triple

T14102612
Position Surface form Disambiguated ID Type / Status
Subject Are We There Yet? (film) E339420 entity
Predicate starring P1507 FINISHED
Object Nia Long E372699 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: Nia Long | Statement: [Are We There Yet? (film), starring, Nia Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nia Long
Context triple: [Are We There Yet? (film), starring, Nia Long]
  • A. Nia Long chosen
    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."
  • B. Nicole Ari Parker
    Nicole Ari Parker is an American actress known for her roles in film and television, including prominent performances in romantic comedies and dramas.
  • C. Sharley Hudson
    Sharley Hudson was the wife of American character actor Keenan Wynn.
  • 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. Genie Francis
    Genie Francis is an American actress best known for her iconic role as Laura Spencer on the long-running soap opera "General Hospital."
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd27ff5b7081908ab27d5851b274ea completed May 8, 2026, 12:02 a.m.
Created at: April 9, 2026, 10:22 p.m.