Triple

T21428206
Position Surface form Disambiguated ID Type / Status
Subject Ricky Jerret E528615 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Vernon Littlefield 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: Vernon Littlefield | Statement: [Ricky Jerret, associatedWithCharacter, Vernon Littlefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon Littlefield
Context triple: [Ricky Jerret, associatedWithCharacter, Vernon Littlefield]
  • A. Vernon Littlefield chosen
    Vernon Littlefield is a fictional NFL linebacker and key client character in the HBO sports comedy-drama series "Ballers."
  • B. Vernon Tull
    Vernon Tull is a practical, somewhat opportunistic neighboring farmer in William Faulkner’s novel "As I Lay Dying," often serving as a foil to the Bundren family’s dysfunction.
  • C. Buddy Hillyer
    Buddy Hillyer is a character in the film "Rambling Rose," serving as part of the story’s depiction of a Southern family in the 1930s.
  • D. George Ratliff
    George Ratliff is an American film director and screenwriter known for his work in psychological thrillers and character-driven dramas.
  • E. Bil Dwyer
    Bil Dwyer is an American stand-up comedian and television game show host known for his quick wit and work on various comedy and reality-based programs.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3e74bcc81909ad66e3c59152ffc completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.