Triple

T3122143
Position Surface form Disambiguated ID Type / Status
Subject Aubrey Graham E65206 entity
Predicate notableSong P4 FINISHED
Object One Dance E292174 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: One Dance | Statement: [Aubrey Graham, notableSong, One Dance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Dance
Context triple: [Aubrey Graham, notableSong, One Dance]
  • A. One Dance chosen
    "One Dance" is a globally successful 2016 dancehall-infused pop single by Drake featuring Wizkid and Kyla, known for topping charts worldwide and popularizing Afrobeat influences in mainstream music.
  • B. Shall We Dance
    "Shall We Dance" is a 1937 Hollywood musical film starring Fred Astaire and Ginger Rogers, celebrated for its sophisticated dance sequences and classic George and Ira Gershwin songs.
  • C. Let's Dance
    "Let's Dance" is a 1950 musical comedy film starring Fred Astaire that showcases his signature song-and-dance performances.
  • D. We Shall Dance
    We Shall Dance is a popular 1971 pop song by Greek singer Demis Roussos that helped establish his international solo career.
  • E. Big Dance
    Big Dance is a popular nickname for the NCAA Division I Men's Basketball Tournament, the annual championship event of college basketball in the United States.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52ab05c819088204bbb608c837c completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f6f57fc8190a5f50028792ac394 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.