Triple

T18337555
Position Surface form Disambiguated ID Type / Status
Subject Eliot Spencer E439310 entity
Predicate creator P184 FINISHED
Object Chris 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: Chris Downey | Statement: [Eliot Spencer, creator, Chris Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Downey
Context triple: [Eliot Spencer, creator, Chris Downey]
  • A. Chris Downey chosen
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • B. 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.
  • C. Brian Downey
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • D. 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.
  • E. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ece387881909a5da0aa4370489c completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.