Triple

T8335533
Position Surface form Disambiguated ID Type / Status
Subject Blue Beetle E195777 entity
Predicate notableVersion P3094 FINISHED
Object Dan Garrett E765896 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: Dan Garrett | Statement: [Blue Beetle, notableVersion, Dan Garrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Garrett
Context triple: [Blue Beetle, notableVersion, Dan Garrett]
  • A. Dan Garrett chosen
    Dan Garrett is a Golden Age comic book superhero who originally operated as the first Blue Beetle, a costumed crimefighter empowered by a mystical scarab in later iterations.
  • B. Jim Garrett
    Jim Garrett was an American football coach and scout best known as the father of former Dallas Cowboys head coach Jason Garrett.
  • C. Dan Haggerty
    Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
  • D. Kevin Garvey
    Kevin Garvey is the troubled small-town police chief and central protagonist of the television drama "The Leftovers," known for his psychological struggles amid a mysteriously altered world.
  • E. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd2ca648190991e398ba70caf8d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb70fbf881909daefb3162ba803c completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 5:57 p.m.