Triple

T22103904
Position Surface form Disambiguated ID Type / Status
Subject Bad Education (2019 film) E546236 entity
Predicate distributor P1951 FINISHED
Object HBO Films NE NERFINISHED

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 Films | Statement: [Bad Education (2019 film), distributor, HBO Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO Films
Context triple: [Bad Education (2019 film), distributor, HBO Films]
  • A. HBO Pictures chosen
    HBO Pictures was the original feature film production arm of the HBO cable network, known for producing made-for-television movies and miniseries.
  • 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. ThinkFilm
    ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
  • E. HBO Home Video
    HBO Home Video is the home entertainment distribution arm of HBO, responsible for releasing the network’s programming on physical and digital media formats.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291815f88190a6eaf73e444dc1c2 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.