Triple

T38449796
Position Surface form Disambiguated ID Type / Status
Subject The Fugitive Sheriff E912139 entity
Predicate featuresActorScreenPersona P152890 FINISHED
Object Ken Maynard 1930s cowboy persona LITERAL 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: Ken Maynard 1930s cowboy persona | Statement: [The Fugitive Sheriff, featuresActorScreenPersona, Ken Maynard 1930s cowboy persona]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresActorScreenPersona
Context triple: [The Fugitive Sheriff, featuresActorScreenPersona, Ken Maynard 1930s cowboy persona]
  • A. stagePersonaOf
    Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
  • B. featuresBoldPersona
    Indicates that an entity prominently showcases or embodies a strong, daring, or assertive persona.
  • C. featuresOnScreenPerformer chosen
    Indicates that something (such as a work or production) includes a particular performer visibly appearing on screen.
  • D. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • E. characterPersona
    Indicates that one entity embodies, represents, or assumes the persona, role, or character identity specified by another entity.
  • F. None of above.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:31 p.m.