Triple

T3858985
Position Surface form Disambiguated ID Type / Status
Subject Funny People E90087 entity
Predicate featuresCameo P626 FINISHED
Object Ray Romano E60897 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: Ray Romano | Statement: [Funny People, featuresCameo, Ray Romano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Romano
Context triple: [Funny People, featuresCameo, Ray Romano]
  • A. Ray Romano chosen
    Ray Romano is an American stand-up comedian and actor best known for creating and starring in the hit sitcom "Everybody Loves Raymond."
  • B. Joe Lo Truglio
    Joe Lo Truglio is an American actor and comedian best known for his role as the earnest, quirky detective Charles Boyle on the television sitcom "Brooklyn Nine-Nine."
  • C. 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.
  • D. 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.
  • E. David Spade
    David Spade is an American comedian and actor known for his work on "Saturday Night Live" and in numerous comedy films and television shows.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5283ccf68819086c6349ceb71f099 completed March 14, 2026, 9:19 a.m.
Created at: March 9, 2026, 3:19 p.m.