Triple

T22273090
Position Surface form Disambiguated ID Type / Status
Subject Paula Jai Parker E550527 entity
Predicate notableWork P4 FINISHED
Object Get on the Bus E826604 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: Get on the Bus | Statement: [Paula Jai Parker, notableWork, Get on the Bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get on the Bus
Context triple: [Paula Jai Parker, notableWork, 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 (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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca26ee08190ad740a4af66a312b completed May 18, 2026, 7:15 a.m.
Created at: April 16, 2026, 8:40 p.m.