Triple

T15442771
Position Surface form Disambiguated ID Type / Status
Subject AFL Coach of the Year E369946 entity
Predicate notableRecipient P108 FINISHED
Object Sid Gillman E560623 NE FINISHED

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: Sid Gillman | Statement: [AFL Coach of the Year, notableRecipient, Sid Gillman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid Gillman
Context triple: [AFL Coach of the Year, notableRecipient, Sid Gillman]
  • A. Sid Gillman chosen
    Sid Gillman was an innovative American football coach and Hall of Famer widely regarded as a pioneer of the modern passing offense.
  • B. Elmore Brooks
    Elmore Brooks, better known as Elmore James, was an influential American blues guitarist, singer, and songwriter celebrated as the "King of the Slide Guitar."
  • C. Larry Eigner
    Larry Eigner was an American poet associated with the Black Mountain and Language poetry movements, known for his visually spaced, minimalist verse often composed from his wheelchair.
  • D. James Sallis
    James Sallis is an American crime and science fiction writer best known for his neo-noir novel "Drive," which was adapted into the 2011 film of the same name.
  • E. Harold Greene
    Harold Greene was a Hollywood screenwriter active in the early 20th century, known for his work on classic studio-era films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21ab80288190a1a4df8b714bba66 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.