Triple

T20005158
Position Surface form Disambiguated ID Type / Status
Subject AFC Richmond E494435 entity
Predicate assistantCoach P31284 FINISHED
Object Nathan Shelley 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: Nathan Shelley | Statement: [AFC Richmond, assistantCoach, Nathan Shelley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Shelley
Context triple: [AFC Richmond, assistantCoach, Nathan Shelley]
  • A. Nathan Shelley chosen
    Nathan Shelley is a fictional football coach and former kit man from the television series "Ted Lasso," known for his complex character arc from shy assistant to embittered rival.
  • B. Nathan Chapman
    Nathan Chapman is an American record producer best known for his extensive work shaping Taylor Swift’s early country-pop sound.
  • C. Nathan Field
    Nathan Field was a notable English Jacobean actor and playwright associated with the Children of the Queen's Revels and later the King's Men.
  • D. Bruce Shelley
    Bruce Shelley is an American game designer best known for his influential work on strategy titles such as Civilization and Age of Empires.
  • E. Nathan Sprague
    Nathan Sprague was the husband of Rosetta Douglass, the eldest daughter of abolitionist leader Frederick Douglass.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a46c748190a141ab5aac6ea250 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.