Triple

T22392973
Position Surface form Disambiguated ID Type / Status
Subject Wasted Years E553552 entity
Predicate partOfAlbum P35 FINISHED
Object Somewhere in 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: Somewhere in Time | Statement: [Wasted Years, partOfAlbum, Somewhere in Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somewhere in Time
Context triple: [Wasted Years, partOfAlbum, Somewhere in Time]
  • A. Somewhere in Time chosen
    Somewhere in Time is a 1986 studio album by British heavy metal band Iron Maiden, noted for its futuristic themes and prominent use of guitar synthesizers.
  • B. Time and Time Again
    Time and Time Again is a lesser-known novel by British author James Hilton, best known for works like Lost Horizon and Goodbye, Mr. Chips.
  • C. Time and Time Again
    "Time and Time Again" is a song featured on the album *The Cookbook* by Missy Elliott.
  • D. Time and Time Again
    "Time and Time Again" is a song by American rock band Papa Roach, released as a single from their major-label album "Lovehatetragedy."
  • E. Somewhere in Time (score)
    Somewhere in Time (score) is a romantic and nostalgic film soundtrack composed by John Barry, renowned for its lush orchestration and enduring popularity among movie music fans.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585c16188190872e75caeb86c328 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.