Triple

T2334244
Position Surface form Disambiguated ID Type / Status
Subject Jeannie Gaffigan E44273 entity
Predicate collaboratesWith P37 FINISHED
Object Jim Gaffigan E7621 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: Jim Gaffigan | Statement: [Jeannie Gaffigan, collaboratesWith, Jim Gaffigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Gaffigan
Context triple: [Jeannie Gaffigan, collaboratesWith, Jim Gaffigan]
  • A. Jim Gaffigan chosen
    Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
  • B. Rob Riggle
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • C. Lee Mack
    Lee Mack is a British stand-up comedian, actor, and writer best known for his quick-fire wit and starring role in the sitcom "Not Going Out."
  • D. Jeff Garlin
    Jeff Garlin is an American comedian and actor best known for his role as Jeff Greene on the HBO series "Curb Your Enthusiasm" and for his work in film and voice acting.
  • E. Paul Mooney
    Paul Mooney was an influential American comedian, writer, and actor best known for his sharp, uncompromising commentary on race and his writing work with Richard Pryor.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b360793f908190b0341c003207cc6f completed March 13, 2026, 12:55 a.m.
Created at: March 4, 2026, 7:51 p.m.