Triple

T3645905
Position Surface form Disambiguated ID Type / Status
Subject Nikkiya E77300 entity
Predicate associatedAct P37 FINISHED
Object K.E. on the Track E376299 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: K.E. on the Track | Statement: [Nikkiya, associatedAct, K.E. on the Track]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K.E. on the Track
Context triple: [Nikkiya, associatedAct, K.E. on the Track]
  • A. K.E. on the Track chosen
    K.E. on the Track is an American hip-hop record producer known for his distinctive trap-influenced beats and collaborations with various rap artists.
  • B. Turbo Track
    Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
  • C. Trackside
    Trackside is a motorsports-focused television program that provided news, analysis, and behind-the-scenes coverage of auto racing events.
  • D. Electrodrome
    Electrodrome is a neon-lit, music-themed race track in Mario Kart 8 featuring pulsating lights, synchronized beats, and twisting anti-gravity sections.
  • E. The Blackberry Train
    The Blackberry Train is the debut solo album by English musician James McCartney, blending melodic rock and introspective songwriting.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35da84c81908950de92ba171fa3 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48836f5d08190bbf0b6410ed6f766 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.