Triple

T15632453
Position Surface form Disambiguated ID Type / Status
Subject Nucky Thompson E375848 entity
Predicate network P2637 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: [Nucky Thompson, network, HBO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO
Context triple: [Nucky Thompson, network, 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. HBO
    HBO is the Dutch sector of universities of applied sciences that focuses on professionally oriented higher education and practical training.
  • C. Cinemax
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • D. HBO Pictures
    HBO Pictures was the original feature film production arm of the HBO cable network, known for producing made-for-television movies and miniseries.
  • E. 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.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f415c2c81909e232e1c6531da93 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.