Triple

T23273142
Position Surface form Disambiguated ID Type / Status
Subject Back on the Streets E588341 entity
Predicate hasContributionFrom P30146 FINISHED
Object Brian Downey 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: Brian Downey | Statement: [Back on the Streets, hasContributionFrom, Brian Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Downey
Context triple: [Back on the Streets, hasContributionFrom, Brian Downey]
  • A. Brian Downey chosen
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • B. Chris Downey
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • C. Glen Downey
    Glen Downey is a Canadian author and educator known for his work in graphic novels and educational publishing, particularly in literacy and comics-based learning.
  • D. Juan Downey
    Juan Downey was a Chilean video and conceptual artist known for his pioneering work in interactive video, performance, and media art that explored identity, technology, and Latin American culture.
  • E. Kevin Dowd
    Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19575d8988190a8f8496f9110ce8c completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:47 p.m.