Triple

T18146543
Position Surface form Disambiguated ID Type / Status
Subject Station to Station E434405 entity
Predicate leadSingle P15292 FINISHED
Object Golden Years 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: Golden Years | Statement: [Station to Station, leadSingle, Golden Years]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Years
Context triple: [Station to Station, leadSingle, Golden Years]
  • A. Golden Years chosen
    "Golden Years" is a 1975 funk-infused art rock song by David Bowie, known as one of his signature singles from the mid-1970s.
  • B. These Happy Golden Years
    These Happy Golden Years is a semi-autobiographical novel by Laura Ingalls Wilder in the Little House series, chronicling her late teenage years as a teacher and her courtship with Almanzo Wilder on the American frontier.
  • C. Best Years
    "Best Years" is a song featured on the album "Good to Be Bad" by the British hard rock band Whitesnake.
  • D. Growing Old
    "Growing Old" is a song featured on the album *Lighting Up the Sky* by the American rock band Godsmack.
  • E. The Oldie
    The Oldie is a British monthly magazine known for its humorous, nostalgic and often irreverent commentary on culture, politics and everyday life, aimed primarily at older readers.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de34bb608190a4842e86f2912dec completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.