Triple

T3497781
Position Surface form Disambiguated ID Type / Status
Subject Downey E73892 entity
Predicate usedBy P260 FINISHED
Object Matthew Downey
Matthew Downey is an individual associated with or making use of something referred to as "Downey," though publicly available distinguishing information about him is limited.
 E364739 NE FINISHED

How this triple was built (4 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: Matthew Downey | Statement: [Downey, usedBy, Matthew Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Downey
Context triple: [Downey, usedBy, Matthew Downey]
  • A. Brian Downey
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • B. Ben Miller
    Ben Miller is a former Special Forces operative turned mercenary in the action thriller film "Triple Frontier," known for his tactical skills and loyalty to his team.
  • C. Chris Downey
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • D. Robert Cohl
    Robert Cohl is the son of Canadian film producer and Toronto International Film Festival co-founder Dusty Cohl.
  • E. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matthew Downey
Triple: [Downey, usedBy, Matthew Downey]
Generated description
Matthew Downey is an individual associated with or making use of something referred to as "Downey," though publicly available distinguishing information about him is limited.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Downey
Target entity description: Matthew Downey is an individual associated with or making use of something referred to as "Downey," though publicly available distinguishing information about him is limited.
  • A. Brian Downey
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • B. Ben Miller
    Ben Miller is a former Special Forces operative turned mercenary in the action thriller film "Triple Frontier," known for his tactical skills and loyalty to his team.
  • C. Chris Downey
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • D. Robert Cohl
    Robert Cohl is the son of Canadian film producer and Toronto International Film Festival co-founder Dusty Cohl.
  • E. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • F. None of above. chosen

Provenance (5 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e67f68081909766d78ee24e9e6e completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:18 p.m.