Triple

T17063572
Position Surface form Disambiguated ID Type / Status
Subject Cinemax E414023 entity
Predicate sisterChannel P5818 FINISHED
Object HBO2 E103042 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: HBO2 | Statement: [Cinemax, sisterChannel, HBO2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO2
Context triple: [Cinemax, sisterChannel, HBO2]
  • A. HBO2 chosen
    HBO2 is a secondary premium cable and streaming channel from HBO that offers additional movies, series, and original programming alongside the main HBO service.
  • B. HBO
    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."
  • C. HBO
    HBO is the Dutch sector of universities of applied sciences that focuses on professionally oriented higher education and practical training.
  • D. HBO Sports
    HBO Sports is a division of the premium cable network HBO known for producing high-profile sports documentaries, boxing events, and investigative sports journalism.
  • E. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7f6a6081909bebce3ce925e663 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.