Triple

T12340300
Position Surface form Disambiguated ID Type / Status
Subject Wayward Pines E294203 entity
Predicate castMember P1668 FINISHED
Object Charlie Tahan E285265 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: Charlie Tahan | Statement: [Wayward Pines, castMember, Charlie Tahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Tahan
Context triple: [Wayward Pines, castMember, Charlie Tahan]
  • A. Charlie Tahan chosen
    Charlie Tahan is an American actor known for his roles in films like "Charlie St. Cloud" and "Super Dark Times" and TV series such as "Ozark" and "Wayward Pines."
  • B. Nick Talman
    Nick Talman is the ambitious young tech entrepreneur protagonist of the television series "StartUp," who becomes entangled in the criminal underworld while trying to build a revolutionary digital currency company.
  • C. Ran Carthon
    Ran Carthon is an American football executive and former NFL running back who serves as the general manager of the Tennessee Titans.
  • D. Tom Tully
    Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
  • E. Daniel Troob
    Daniel Troob is an American orchestrator and arranger best known for his work on numerous Disney animated film scores and Broadway musicals.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef164508190bc311a8199cfbc70 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:53 p.m.