Triple

T14075143
Position Surface form Disambiguated ID Type / Status
Subject Meet Me in Las Vegas E338710 entity
Predicate castMember P1668 FINISHED
Object Jerry Colonna E339866 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: Jerry Colonna | Statement: [Meet Me in Las Vegas, castMember, Jerry Colonna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Colonna
Context triple: [Meet Me in Las Vegas, castMember, Jerry Colonna]
  • A. Jerry Colonna chosen
    Jerry Colonna was an American comedian, actor, and musician best known for his wild-eyed persona and frequent collaborations with Bob Hope in radio, film, and television.
  • B. Brian Bilello
    Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
  • C. Johnny Colla
    Johnny Colla is an American musician best known as the saxophonist, guitarist, and songwriter for the rock band Huey Lewis and the News.
  • D. Joe Mantello
    Joe Mantello is an acclaimed American actor and director, particularly renowned for his work on Broadway in both plays and musicals.
  • E. Tony Mottola
    Tony Mottola was an American jazz and studio guitarist renowned for his prolific session work, television appearances, and easy-listening recordings in the mid-20th century.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5bc49881909012b66fa451f495 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66eeb248190b73e992ab6b9af82 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.