Triple

T23238824
Position Surface form Disambiguated ID Type / Status
Subject Michael Garron E581377 entity
Predicate familyName P18 FINISHED
Object Garron
Garron is a surname most notably associated with Michael Garron, a Canadian philanthropist whose name is borne by a major hospital in Toronto.
 E1579028 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: Garron | Statement: [Michael Garron, familyName, Garron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garron
Context triple: [Michael Garron, familyName, Garron]
  • A. Garron
    Garron is a charming yet unscrupulous conman from the Doctor Who serial "The Ribos Operation," known for orchestrating elaborate planetary fraud schemes.
  • B. Garr
    Garr is an earth elemental boss in World of Warcraft’s Molten Core raid, known for his numerous exploding adds and heavy reliance on crowd control.
  • C. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • D. Garris
    Garris is a surname most notably associated with American filmmaker and screenwriter Mick Garris, known for his work in the horror genre.
  • E. Goranson
    Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
  • 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: Garron
Triple: [Michael Garron, familyName, Garron]
Generated description
Garron is a surname most notably associated with Michael Garron, a Canadian philanthropist whose name is borne by a major hospital in Toronto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garron
Target entity description: Garron is a surname most notably associated with Michael Garron, a Canadian philanthropist whose name is borne by a major hospital in Toronto.
  • A. Garron
    Garron is a charming yet unscrupulous conman from the Doctor Who serial "The Ribos Operation," known for orchestrating elaborate planetary fraud schemes.
  • B. Garr
    Garr is an earth elemental boss in World of Warcraft’s Molten Core raid, known for his numerous exploding adds and heavy reliance on crowd control.
  • C. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • D. Garris
    Garris is a surname most notably associated with American filmmaker and screenwriter Mick Garris, known for his work in the horror genre.
  • E. Goranson
    Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ebaef4819083a7805537ad993f completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f5ea49c8190bca74c1c21e1a85b completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:10 p.m.