Triple

T17837596
Position Surface form Disambiguated ID Type / Status
Subject Kristen Wilson E445430 entity
Predicate appearedInFilm P795 FINISHED
Object Get on the Bus NE NERFINISHED

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: Get on the Bus | Statement: [Kristen Wilson, appearedInFilm, Get on the Bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get on the Bus
Context triple: [Kristen Wilson, appearedInFilm, Get on the Bus]
  • A. Get on the Bus chosen
    "Get on the Bus" is a 1996 drama film directed by Spike Lee that follows a group of Black men traveling by bus to attend the Million Man March in Washington, D.C.
  • B. Mark on the Bus
    "Mark on the Bus" is a short spoken-word interlude/skit by the Beastie Boys featured on their 1992 album *Check Your Head*.
  • C. The Bus
    The Bus is the public transportation system serving the Marble Valley region, providing local and regional bus services for residents and visitors.
  • D. The Bus
    The Bus is the nickname of New Zealand rugby union winger Julian Savea, renowned for his powerful, hard-running style and prolific try-scoring.
  • E. The Bus
    The Bus is the nickname of Jerome Bettis, a Hall of Fame NFL running back renowned for his powerful, bruising rushing style with the Pittsburgh Steelers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d28c14881909033abd09bbdb135 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.