Triple

T14799790
Position Surface form Disambiguated ID Type / Status
Subject M. C. Gainey E347875 entity
Predicate notableWork P4 FINISHED
Object Are We There Yet? E339420 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: Are We There Yet? | Statement: [M. C. Gainey, notableWork, Are We There Yet?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Are We There Yet?
Context triple: [M. C. Gainey, notableWork, Are We There Yet?]
  • A. Are We There Yet? (film) chosen
    Are We There Yet? is a 2005 family road-trip comedy film starring Ice Cube as a bachelor trying to win over a divorced mother and her mischievous children.
  • B. Are We Done Yet?
    Are We Done Yet? is a 2007 family comedy film starring Ice Cube as a father struggling with the chaos of renovating a new suburban home.
  • C. Going There
    "Going There" is a memoir by American journalist and television personality Katie Couric, chronicling her personal life, career, and behind-the-scenes experiences in the media industry.
  • D. Until We Get There
    "Until We Get There" is a song by the indie pop band Lucius from their debut studio album, Wildewoman.
  • E. Get Me There
    Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c2cd848190bb0d8e4b5f7a489c completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.