Triple

T20831349
Position Surface form Disambiguated ID Type / Status
Subject Strictly 4 My Fans E512832 entity
Predicate notableTrack P8087 FINISHED
Object Run It Up 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: Run It Up | Statement: [Strictly 4 My Fans, notableTrack, Run It Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run It Up
Context triple: [Strictly 4 My Fans, notableTrack, Run It Up]
  • A. Run It Up chosen
    "Run It Up" is a hip-hop track by NBA star and rapper Dame D.O.L.L.A. that showcases his lyrical skills and crossover appeal between sports and music.
  • B. Turn It Up
    "Turn It Up" is a song from Brandy's 2004 R&B album "Afrodisiac," showcasing her smooth vocals over contemporary, Timbaland-influenced production.
  • C. Turn It Up
    Turn It Up is the debut studio album by English singer Pixie Lott, featuring pop tracks that helped launch her mainstream music career.
  • D. Turn It Up
    "Turn It Up" is an R&B song by American singer-songwriter Johntá Austin, known for showcasing his smooth vocals and contemporary urban sound.
  • E. Turn It Up
    Turn It Up is a 2000 crime drama film about the struggles of an aspiring hip-hop musician in the urban underworld.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3224e788190bfc4d3dcbaa674a7 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.