Triple

T3497780
Position Surface form Disambiguated ID Type / Status
Subject Downey E73892 entity
Predicate usedBy P260 FINISHED
Object 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.
 E393281 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: Glen Downey | Statement: [Downey, usedBy, Glen Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glen Downey
Context triple: [Downey, usedBy, Glen Downey]
  • A. Chris Downey
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • B. Brian Downey
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • C. Cliff Hollingsworth
    Cliff Hollingsworth is an American screenwriter best known for co-writing the boxing drama film "Cinderella Man."
  • D. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • 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: Glen Downey
Triple: [Downey, usedBy, Glen Downey]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glen Downey
Target entity description: 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.
  • A. Chris Downey
    Chris Downey is a television writer and producer best known for co-creating the crime drama series "Leverage."
  • B. Brian Downey
    Brian Downey is an Irish drummer best known as a founding member of the hard rock band Thin Lizzy.
  • C. Cliff Hollingsworth
    Cliff Hollingsworth is an American screenwriter best known for co-writing the boxing drama film "Cinderella Man."
  • D. Ben Haggerty
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • 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_69b503d9643881909737836640c22802 completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b504a31de08190b543549a2b05b038 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b5084c8bd48190b7afc80bed196c90 completed March 14, 2026, 7:03 a.m.
Created at: March 8, 2026, 3:18 p.m.