Triple

T10839983
Position Surface form Disambiguated ID Type / Status
Subject Nick Buoniconti E255858 entity
Predicate workedAsBroadcasterFor P833 FINISHED
Object HBO E18702 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: HBO | Statement: [Nick Buoniconti, workedAsBroadcasterFor, HBO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO
Context triple: [Nick Buoniconti, workedAsBroadcasterFor, HBO]
  • A. HBO chosen
    HBO is a premium American television and streaming network known for producing influential, high-quality original series, films, and documentaries such as "The Sopranos," "Game of Thrones," and "Succession."
  • B. Cinemax
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • C. HBO Max
    HBO Max is a streaming service from WarnerMedia that offers a wide library of movies, series, and original content from HBO and related brands.
  • D. HBO2
    HBO2 is a secondary premium cable and streaming channel from HBO that offers additional movies, series, and original programming alongside the main HBO service.
  • E. Showtime
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb146f04881909f5636e7d0c20b77 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.