Triple

T15297727
Position Surface form Disambiguated ID Type / Status
Subject The Special Relationship E365701 entity
Predicate productionCompany P490 FINISHED
Object HBO Films 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 Films | Statement: [The Special Relationship, productionCompany, HBO Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO Films
Context triple: [The Special Relationship, productionCompany, HBO Films]
  • A. 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.
  • B. 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."
  • 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. Hartswood Films
    Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03686bfb8819080ba0caae652170a completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef82f6d08190b809260dda247dfe completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.