Triple

T7437131
Position Surface form Disambiguated ID Type / Status
Subject The Young Pope E171642 entity
Predicate mainCharacterName P29319 FINISHED
Object Lenny Belardo E171645 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: Lenny Belardo | Statement: [The Young Pope, mainCharacterName, Lenny Belardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenny Belardo
Context triple: [The Young Pope, mainCharacterName, Lenny Belardo]
  • A. Lenny Belardo chosen
    Lenny Belardo is the fictional, enigmatic young American pope at the center of the television series "The Young Pope."
  • 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. Lyle Mays
    Lyle Mays was an American jazz pianist, composer, and longtime collaborator of Pat Metheny, renowned for his sophisticated harmonies and influential work in contemporary jazz.
  • D. Ken Koblun
    Ken Koblun is a Canadian bassist best known for his early involvement with the influential 1960s rock band Buffalo Springfield.
  • E. Don Maynard
    Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f349399c8190b46d5882ece2e73a completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8278670bc819095bdbcc0837b6716 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:13 p.m.