Triple

T13744472
Position Surface form Disambiguated ID Type / Status
Subject The Jamie Foxx Show E330176 entity
Predicate productionCompany P490 FINISHED
Object Big Ticket Television E208248 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: Big Ticket Television | Statement: [The Jamie Foxx Show, productionCompany, Big Ticket Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Ticket Television
Context triple: [The Jamie Foxx Show, productionCompany, Big Ticket Television]
  • A. Big Ticket Television chosen
    Big Ticket Television is an American television production company known for producing popular sitcoms and syndicated series in the 1990s and 2000s.
  • B. The Ticket
    The Ticket is a 2016 American drama film about a blind man who regains his sight and becomes consumed by ambition, starring Dan Stevens and Kerry Bishé.
  • C. Big TV!
    Big TV! is a music video directed by Crazy, likely characterized by an energetic and unconventional visual style.
  • D. The Big Ticket
    The Big Ticket is the famous nickname of NBA Hall of Famer Kevin Garnett, known for his intense competitiveness and all-around dominance on the basketball court.
  • E. Raseedi Ticket
    Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0211ba5481909fbd5b447e3d5a02 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.