Triple

T16909635
Position Surface form Disambiguated ID Type / Status
Subject Dog Soldiers E410160 entity
Predicate hasCastMember P2308 FINISHED
Object Kevin McKidd E87556 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 McKidd | Statement: [Dog Soldiers, hasCastMember, Kevin McKidd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin McKidd
Context triple: [Dog Soldiers, hasCastMember, Kevin McKidd]
  • A. Kevin McKidd chosen
    Kevin McKidd is a Scottish actor best known for his roles in projects such as the TV series "Grey's Anatomy" and films like "Trainspotting" and "Rome."
  • B. Michael McElhatton
    Michael McElhatton is an Irish actor best known for playing the calculating and ruthless Roose Bolton in the television series "Game of Thrones."
  • C. Michael McShane
    Michael McShane is an American actor and comedian known for his improvisational work on "Whose Line Is It Anyway?" and roles in films and television during the 1990s.
  • D. Myles Connolly
    Myles Connolly was an American author, Hollywood screenwriter, and devout Catholic layman best known for his influential novel "Mr. Blue" and his work on numerous classic films.
  • E. Martin Compston
    Martin Compston is a Scottish actor best known for his breakout role in Ken Loach’s film "Sweet Sixteen" and for starring as Detective Sergeant Steve Arnott in the TV series "Line of Duty."
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3bdc3081908a9b4f6e63405348 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d458902481908f79cd5a9f72f7fd completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:30 a.m.