Triple

T18220767
Position Surface form Disambiguated ID Type / Status
Subject The John Larroquette Show E436296 entity
Predicate starring P1507 FINISHED
Object Lenny Clarke NE NERFINISHED

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 Clarke | Statement: [The John Larroquette Show, starring, Lenny Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenny Clarke
Context triple: [The John Larroquette Show, starring, Lenny Clarke]
  • A. Lenny Clarke chosen
    Lenny Clarke is an American stand-up comedian and actor known for his Boston-accented roles in film and television, including appearances in projects like "Fever Pitch."
  • B. Lenny Grant
    Lenny Grant, better known by his stage name Uncle Murda, is an American rapper from Brooklyn, New York, recognized for his gritty street narratives and annual "Rap Up" songs.
  • C. Lenny McLean
    Lenny McLean was a British bare-knuckle boxer, bouncer, and actor, best known for his tough-guy persona and roles in gritty crime films.
  • D. David Cleevely
    David Cleevely is a British entrepreneur and investor best known for founding and backing numerous technology and biotech companies, as well as advising on UK telecommunications and innovation policy.
  • E. Clive Egleton
    Clive Egleton was a British author best known for his espionage and military thrillers, several of which were adapted for film and television.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47b5bfc819085c5935c08361ba9 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.