Triple

T21397425
Position Surface form Disambiguated ID Type / Status
Subject Fellow Travelers E527820 entity
Predicate starring P1507 FINISHED
Object Linus Roache 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: Linus Roache | Statement: [Fellow Travelers, starring, Linus Roache]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linus Roache
Context triple: [Fellow Travelers, starring, Linus Roache]
  • A. Linus Roache chosen
    Linus Roache is an English actor known for his roles in film and television, including prominent performances in series such as "Homeland" and "Law & Order."
  • B. Tim Metcalfe
    Tim Metcalfe is an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
  • C. Tim Metcalfe
    Tim Metcalfe is a music producer best known for his work on Robbie Williams’ album "Take the Crown."
  • D. Stephen Sloat
    Stephen Sloat was an early local figure of historical significance in New York, after whom the village of Sloatsburg was named.
  • E. Mike Farrell
    Mike Farrell is an American actor, producer, and activist best known for his role as Captain B.J. Hunnicutt on the television series M*A*S*H.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b16a9c7c819083bd2d298106fdf1 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:13 p.m.