Triple

T12667624
Position Surface form Disambiguated ID Type / Status
Subject Chi McBride E302597 entity
Predicate notableWork P4 FINISHED
Object Roll Bounce E140714 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: Roll Bounce | Statement: [Chi McBride, notableWork, Roll Bounce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roll Bounce
Context triple: [Chi McBride, notableWork, Roll Bounce]
  • A. Roll Bounce chosen
    Roll Bounce is a 2005 coming-of-age comedy-drama film centered on 1970s roller disco culture and teenage friendships.
  • B. Bounce
    "Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
  • C. Bounce
    "Bounce" is a popular electro house track by Canadian electronic music duo MSTRKRFT, known for its heavy synths and club-oriented energy.
  • D. Bounce
    "Bounce" is a high-energy dance-pop and Bollywood-influenced single by Australian rapper Iggy Azalea, known for its vibrant production and colorful music video.
  • E. Bounce
    "Bounce" is a 2002 hard rock album by Bon Jovi that reflects themes of resilience and renewal, influenced in part by the aftermath of the September 11 attacks.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.