Triple

T4663779
Position Surface form Disambiguated ID Type / Status
Subject The Waitress E102795 entity
Predicate hasRelationshipWith P2830 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: [The Waitress, hasRelationshipWith, Charlie Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Kelly
Context triple: [The Waitress, hasRelationshipWith, 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4396459081909924491ada220802 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:15 p.m.