Triple

T5255136
Position Surface form Disambiguated ID Type / Status
Subject The Velvet Underground E118679 entity
Predicate influencedArtist P13951 FINISHED
Object David Bowie E98709 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: David Bowie | Statement: [The Velvet Underground, influencedArtist, David Bowie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Bowie
Context triple: [The Velvet Underground, influencedArtist, David Bowie]
  • A. David Bowie chosen
    David Bowie was an influential English singer, songwriter, and actor renowned for his innovative music, distinctive visual style, and continual reinvention across a five-decade career.
  • B. Bowie
    Bowie is a given name most notably associated with Bowie Kuhn, the former Commissioner of Major League Baseball.
  • C. Bryan Ferry
    Bryan Ferry is an English singer, songwriter, and former Roxy Music frontman known for his suave vocal style and influential role in art rock and glam rock.
  • D. Oden Bowie
    Oden Bowie was a 19th-century American politician who served as governor of Maryland and for whom the community of Bowie, Maryland is named.
  • E. Elton John
    Elton John is a legendary British singer, pianist, and composer known for his flamboyant style and numerous hit songs across several decades.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7a1f448190acfcdfe37c962028 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.