Triple

T13196175
Position Surface form Disambiguated ID Type / Status
Subject Garret Dillahunt E314117 entity
Predicate name P16 FINISHED
Object Garret Dillahunt E314117 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: Garret Dillahunt | Statement: [Garret Dillahunt, name, Garret Dillahunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garret Dillahunt
Context triple: [Garret Dillahunt, name, Garret Dillahunt]
  • A. Garret Dillahunt chosen
    Garret Dillahunt is an American actor known for his versatile character roles in television series such as Deadwood, Justified, Raising Hope, and Fear the Walking Dead.
  • B. Brendan Hunt
    Brendan Hunt is an American actor, writer, and comedian best known for co-creating and starring in the acclaimed television series "Ted Lasso."
  • C. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • D. Wesley Pentz
    Wesley Pentz, better known as Diplo, is an American DJ, record producer, and songwriter recognized for his influential work in electronic and pop music.
  • E. Michael Lark
    Michael Lark is an American comic book artist best known for his gritty, realistic artwork on series such as Gotham Central, Daredevil, and Lazarus.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f605a48c81909373fcd9dd896b3d completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:16 p.m.