Triple

T20408505
Position Surface form Disambiguated ID Type / Status
Subject The Dark Side of the Moon E500530 entity
Predicate track P17929 FINISHED
Object Time 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: Time | Statement: [The Dark Side of the Moon, track, Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time
Context triple: [The Dark Side of the Moon, track, Time]
  • A. Time
    "Time" is a drum and bass track by British electronic music duo Chase & Status, known for its emotive vocals and atmospheric production.
  • B. Time
    "Time" is a British television drama series created by Jimmy McGovern that explores the harsh realities and moral complexities of the prison system.
  • C. Time
    "Time" is a Tom Waits song from his acclaimed 1985 album *Rain Dogs*, known for its melancholic lyrics and evocative, gravel-voiced delivery.
  • D. Time chosen
    "Time" is a reflective, piano-driven rock ballad by David Bowie from his 1973 album *Aladdin Sane*, noted for its theatrical style and meditations on mortality.
  • E. Time
    Time is a long-running British science fiction and fantasy magazine known for its imaginative storytelling and speculative themes.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3d03ac81908f37b907ccbb5088 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.