Triple

T11994964
Position Surface form Disambiguated ID Type / Status
Subject The Patsy E285504 entity
Predicate castMember P1668 FINISHED
Object Buddy Lester E958723 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: Buddy Lester | Statement: [The Patsy, castMember, Buddy Lester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddy Lester
Context triple: [The Patsy, castMember, Buddy Lester]
  • A. Buddy Lester chosen
    Buddy Lester was an American stand-up comedian and character actor known for his supporting roles in films and television from the 1950s through the 1970s.
  • B. Buddy Johnson
    Buddy Johnson is a screenwriter best known for his work on the horror-comedy parody film "Scary Movie."
  • C. Mickey Loomis
    Mickey Loomis is an American football executive best known for leading the New Orleans Saints’ front office during their rise to Super Bowl contention and long-term success in the NFL.
  • D. Buddy Slade
    Buddy Slade is a former high school jock and Mavis Gary’s married ex-boyfriend in the dark comedy film "Young Adult."
  • E. Jerry Lester
    Jerry Lester was an American comedian and television personality best known as an early late-night TV pioneer in the 1950s.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.