Triple

T15036210
Position Surface form Disambiguated ID Type / Status
Subject Tobias Vaughn E378482 entity
Predicate portrayedBy P1507 FINISHED
Object Kevin Stoney E382594 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: Kevin Stoney | Statement: [Tobias Vaughn, portrayedBy, Kevin Stoney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Stoney
Context triple: [Tobias Vaughn, portrayedBy, Kevin Stoney]
  • A. Kevin Stoney chosen
    Kevin Stoney was a British character actor best known for his villainous roles in classic science fiction television, particularly in series like Doctor Who.
  • B. Richie Stotts
    Richie Stotts is an American guitarist best known as a founding member of the shock rock band Plasmatics.
  • C. Duane Starks
    Duane Starks is a former NFL cornerback best known for his playmaking role in the Baltimore Ravens’ dominant early-2000s defense and his key interception return for a touchdown in Super Bowl XXXV.
  • D. Jeffrey Skiles
    Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
  • E. Michael Jeffery
    Michael Jeffery was a British music manager best known for managing Jimi Hendrix and co-founding Electric Lady Studios in New York City.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b75c04819085996a7f88ab6c38 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:59 a.m.