Triple

T21876984
Position Surface form Disambiguated ID Type / Status
Subject Big Fat Woman E540169 entity
Predicate hasBsideOf P15273 FINISHED
Object Do You Wanna Dance? 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: Do You Wanna Dance? | Statement: [Big Fat Woman, hasBsideOf, Do You Wanna Dance?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Do You Wanna Dance?
Context triple: [Big Fat Woman, hasBsideOf, Do You Wanna Dance?]
  • A. Do You Wanna Dance? chosen
    "Do You Wanna Dance?" is a classic rock and roll song, originally written and recorded by Bobby Freeman in 1958 and later covered by numerous artists including the Beach Boys and the Ramones.
  • B. I Wanna Dance with You
    "I Wanna Dance with You" is a 1988 country song by Eddie Rabbitt that became one of his major chart-topping hits.
  • C. All You Wanna Do Is Dance
    "All You Wanna Do Is Dance" is a reggae-influenced pop-rock song by Billy Joel featured on his 1976 album *Turnstiles*.
  • D. Why Don’t You Dance?
    "Why Don’t You Dance?" is a short story by American writer Raymond Carver, noted for its minimalist style and portrayal of loneliness and disconnection in everyday life.
  • E. Got to Dance
    Got to Dance is a televised dance competition show in which performers of various styles audition and compete before judges and a public vote.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33a4e608190bd25bfa3fb5cac10 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.