Triple

T9954279
Position Surface form Disambiguated ID Type / Status
Subject Chief Wiggum E195406 entity
Predicate familyName P18 FINISHED
Object Wiggum E195406 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: Wiggum | Statement: [Chief Wiggum, familyName, Wiggum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiggum
Context triple: [Chief Wiggum, familyName, Wiggum]
  • A. Chief Wiggum chosen
    Chief Wiggum is the bumbling, doughnut-loving police chief of Springfield on the animated television series "The Simpsons."
  • B. Frank Bledsoe
    Frank Bledsoe is the closeted gay literature professor at the center of the film "Uncle Frank," whose road trip with his niece forces him to confront his past and his Southern family's prejudices.
  • C. Jim Barksdale
    Jim Barksdale is an American business executive best known for serving as CEO of Netscape during the early commercial growth of the internet.
  • D. Goober Pyle
    Goober Pyle is a bumbling yet lovable auto mechanic and comic relief character from the classic television series "The Andy Griffith Show" and its spin-offs.
  • E. Barney Fife
    Barney Fife is the bumbling yet well-meaning deputy sheriff of Mayberry, best known as Andy Taylor’s overzealous sidekick on the classic American sitcom "The Andy Griffith Show."
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb694b95481909d049302818e7137 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257a164308190b88432b914ea7f1a completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:46 p.m.