Triple

T19257268
Position Surface form Disambiguated ID Type / Status
Subject Wired E481547 entity
Predicate hasTrack P3284 FINISHED
Object Come Dancing E794455 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: Come Dancing | Statement: [Wired, hasTrack, Come Dancing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come Dancing
Context triple: [Wired, hasTrack, Come Dancing]
  • A. Come Dancing chosen
    "Come Dancing" is a nostalgic 1982 pop song by The Kinks that reflects on lost youth and the decline of traditional dance halls.
  • B. Come Dancing
    Come Dancing was a long-running British television ballroom dancing competition that showcased amateur dancers and helped popularize the genre on UK television.
  • C. 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.
  • D. Dance On
    "Dance On" is a politically charged funk-rock song by Prince from his 1988 album Lovesexy.
  • E. A Time for Dancing
    A Time for Dancing is a 2000 teen drama film about two best friends whose bond is tested when one of them is diagnosed with cancer.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705e94604819091157c7b7df406f6 completed May 15, 2026, 11:39 a.m.
Created at: April 10, 2026, 1:28 p.m.