Triple

T20015712
Position Surface form Disambiguated ID Type / Status
Subject To Be Loved E494711 entity
Predicate hasTrack P3284 FINISHED
Object Come Dance with Me 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: Come Dance with Me | Statement: [To Be Loved, hasTrack, Come Dance with Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come Dance with Me
Context triple: [To Be Loved, hasTrack, Come Dance with Me]
  • A. Come Dance with Me
    "Come Dance with Me" is a song by the American pop rock group Jay and the Americans, known for its classic 1960s vocal harmony style.
  • B. Come Dance with Me chosen
    "Come Dance with Me" is a popular song co-written by American composer Edward Chester Babcock (Eddie Babick) that became known through its recordings in the mid-20th-century pop and jazz era.
  • C. Dance With Me
    "Dance With Me" is a song featured as a component of the music release "One More Time..."
  • D. Dance With Me
    "Dance With Me" is a song by American R&B singer Michael Keith, best known as a member of the group 112.
  • E. Dance with Me
    "Dance with Me" is a work associated with American politician and author John Hall, reflecting his creative output beyond his political career.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.