Triple

T18625552
Position Surface form Disambiguated ID Type / Status
Subject "(Love Is) Thicker Than Water" E455273 entity
Predicate nextSingle P25313 FINISHED
Object "Shadow Dancing" 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: "Shadow Dancing" | Statement: ["(Love Is) Thicker Than Water", nextSingle, "Shadow Dancing"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Shadow Dancing"
Context triple: ["(Love Is) Thicker Than Water", nextSingle, "Shadow Dancing"]
  • A. Dance with The Shadows
    "Dance with The Shadows" is a 1964 instrumental rock album by the British group The Shadows, showcasing their signature guitar-driven sound.
  • B. Shadow Dancing chosen
    "Shadow Dancing" is a 1978 disco-pop hit single by Andy Gibb that became one of his most successful and recognizable songs.
  • C. Shadow Dance
    "Shadow Dance" is a dark, surreal 1966 novel by Angela Carter that blends gothic elements with psychological exploration and experimental prose.
  • D. Shadow Dancer
    Shadow Dancer is a 2012 political thriller film set in Northern Ireland, following an IRA member turned informant as she navigates perilous loyalties and family ties.
  • E. Dancing Shadows (album)
    Dancing Shadows is a music album that follows D.N.A. in the artist's discography, showcasing a subsequent evolution in their sound and style.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f04d0cc81909c3c6022c5dfdb63 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.