Triple

T14881924
Position Surface form Disambiguated ID Type / Status
Subject Black Mountain E350019 entity
Predicate hasSingle P3282 FINISHED
Object Boogie Lover (Remix) E1125751 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: Boogie Lover (Remix) | Statement: [Black Mountain, hasSingle, Boogie Lover (Remix)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boogie Lover (Remix)
Context triple: [Black Mountain, hasSingle, Boogie Lover (Remix)]
  • A. Boogie Lover chosen
    "Boogie Lover" is a song by the American rock band Black Mountain, known for its heavy, psychedelic sound.
  • B. Loverboy (Remix)
    "Loverboy (Remix)" is a hip hop remix track featuring rapper Da Brat, best known for her guest verse on Mariah Carey's 2001 single "Loverboy."
  • C. Bad Boy Boogie
    "Bad Boy Boogie" is a hard rock song by Australian band AC/DC, featured on their 1977 album *Let There Be Rock* and known for its driving riffs and rebellious lyrics.
  • D. Boogie
    Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
  • E. The Boogie That Be
    "The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8192548190ad268b5804c97060 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:56 a.m.