Triple

T10049617
Position Surface form Disambiguated ID Type / Status
Subject The Parkers E207711 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 Parkers, productionCompany, Big Ticket Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Ticket Television
Context triple: [The Parkers, 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8e41c4819091fa12742197e207 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2829674f08190b5f9c3b984106469 completed April 5, 2026, 3:41 p.m.
Created at: March 30, 2026, 8:56 p.m.