Triple

T23070234
Position Surface form Disambiguated ID Type / Status
Subject Juan Downey E575172 entity
Predicate name P16 FINISHED
Object Juan 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: Juan Downey | Statement: [Juan Downey, name, Juan Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Downey
Context triple: [Juan Downey, name, Juan Downey]
  • A. Juan Downey chosen
    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.
  • B. Chris Downey
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • C. Brian Downey
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • D. Eric Blakeney
    Eric Blakeney is an American writer, director, and producer best known for his work on television series such as "21 Jump Street" and "Booker."
  • E. 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.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5f17348190ab92cfdae9bcaeba completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.