Triple

T10515570
Position Surface form Disambiguated ID Type / Status
Subject Night Dreamer E248020 entity
Predicate hasTrack P3284 FINISHED
Object Night Dreamer E248020 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: Night Dreamer | Statement: [Night Dreamer, hasTrack, Night Dreamer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Night Dreamer
Context triple: [Night Dreamer, hasTrack, Night Dreamer]
  • A. Night Dreamer chosen
    Night Dreamer is a landmark 1964 hard bop/post-bop jazz album by saxophonist Wayne Shorter, noted for its atmospheric compositions and influential role in shaping modern jazz.
  • B. Book of Dreams
    "Book of Dreams" is a song by Bruce Springsteen from his 1992 album *Lucky Town*, known for its intimate, romantic lyrics and reflective tone.
  • C. The Pains of Sleep
    The Pains of Sleep is a poem by Samuel Taylor Coleridge that vividly explores themes of guilt, terror, and psychological torment experienced in dreams.
  • D. The Sweeper of Dreams
    The Sweeper of Dreams is a short fantasy story by Neil Gaiman that explores the mysterious figure who cleans up the remnants of people's dreams.
  • E. The Theatre of Dreams
    The Theatre of Dreams is the famous moniker for Manchester United’s iconic Old Trafford stadium, renowned for its rich footballing history and passionate atmosphere.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cbacb08190a446c864b97823ad completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b13f4fc8190863d6e1aa7da5733 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:28 p.m.