Triple

T14874852
Position Surface form Disambiguated ID Type / Status
Subject Buzzr E349839 entity
Predicate hasProgramming P1975 FINISHED
Object Blockbusters E173831 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: Blockbusters | Statement: [Buzzr, hasProgramming, Blockbusters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blockbusters
Context triple: [Buzzr, hasProgramming, Blockbusters]
  • A. Blockbusters chosen
    Blockbusters is a British television quiz show, originally popular in the 1980s, in which contestants answer general knowledge questions to complete a path across a hexagonal game board.
  • B. Blockbuster
    Blockbuster is a 2022 Netflix workplace comedy series set in the last remaining Blockbuster video store, starring Randall Park and Melissa Fumero.
  • C. Mr. Box Office
    Mr. Box Office is an American sitcom about a famous movie star sentenced to teach at an inner-city high school, blending celebrity culture with classroom comedy.
  • D. Home Box Office
    Home Box Office is a premium American cable and streaming television network best known for its high-quality original series, films, and specials.
  • E. Sky Box Office
    Sky Box Office is a pay-per-view television service from Sky that offers subscribers access to premium movies, sports events, and special programming.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b52c12481908d0173a2a3ed854b completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.