Triple

T12586958
Position Surface form Disambiguated ID Type / Status
Subject Nick Nolte E300488 entity
Predicate portrayedCharacter P1668 FINISHED
Object Tom Wingo E540139 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: Tom Wingo | Statement: [Nick Nolte, portrayedCharacter, Tom Wingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Wingo
Context triple: [Nick Nolte, portrayedCharacter, Tom Wingo]
  • A. Tom Wingo chosen
    Tom Wingo is the troubled Southern football coach and teacher who confronts his painful family history while helping his sister’s psychiatrist uncover the roots of her trauma in *The Prince of Tides*.
  • B. David Wingo
    David Wingo is an American film and television composer known for his atmospheric, character-driven scores for independent dramas and series such as "Take Shelter," "Mud," and HBO's "Barry."
  • C. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • D. Tom Wicker
    Tom Wicker was an influential American journalist and author best known for his political reporting and long tenure as a columnist and editor at The New York Times.
  • E. Stan Watts
    Stan Watts is an artist best known for creating cover artwork, including the cover art for the work titled "Escape."
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebed164819083fbdaa775a59cd4 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:05 p.m.