Triple

T3433411
Position Surface form Disambiguated ID Type / Status
Subject Tig Trager E72390 entity
Predicate portrayedBy P1507 FINISHED
Object Kim Coates E162176 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: Kim Coates | Statement: [Tig Trager, portrayedBy, Kim Coates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Coates
Context triple: [Tig Trager, portrayedBy, Kim Coates]
  • A. Kim Coates chosen
    Kim Coates is a Canadian-American actor best known for his role as the ruthless yet charismatic biker Tig Trager on the television series "Sons of Anarchy."
  • B. Jim Coates
    Jim Coates is the husband of Katie Coates, known primarily in relation to her.
  • C. Charlie Shotwell
    Charlie Shotwell is an American child actor known for roles in films such as "Captain Fantastic," "The Glass Castle," and "Troop Zero."
  • D. Ken Ralston
    Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
  • E. Alan Cox
    Alan Cox is a prominent British software engineer best known for his extensive work on the Linux kernel and long-standing contributions to the free software movement.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c1d9148190b873ba66d34d4f01 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547d3f4c8190bc6811398bd8f080 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.