Triple

T8664973
Position Surface form Disambiguated ID Type / Status
Subject Frank Reynolds E205644 entity
Predicate associatedWith P37 FINISHED
Object Charlie Kelly E18989 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: Charlie Kelly | Statement: [Frank Reynolds, associatedWith, Charlie Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Kelly
Context triple: [Frank Reynolds, associatedWith, Charlie Kelly]
  • A. Charlie Kelly chosen
    Charlie Kelly is a dim-witted yet oddly resourceful janitor and co-owner of Paddy’s Pub on the sitcom "It’s Always Sunny in Philadelphia," known for his chaotic behavior and bizarre schemes.
  • B. Bill Travers
    Bill Travers was a British actor and wildlife conservationist best known for his roles in mid-20th-century films and for co-founding the Born Free Foundation.
  • C. Charlie Frye
    Charlie Frye is a former American football quarterback who played in the NFL, most notably for the Cleveland Browns.
  • D. Billy Cox
    Billy Cox is an American bassist best known for his longtime collaboration with Jimi Hendrix, including his role in the Band of Gypsys.
  • E. Charles McGraw
    Charles McGraw was an American character actor known for his tough-guy roles in film noir and classic Hollywood films, including notable appearances in movies like "The Killers" and "Spartacus."
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a0ae108190b33dadcc3cb18949 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf286a364c8190b7f4f9d8243e2548 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:30 p.m.