Triple

T15578642
Position Surface form Disambiguated ID Type / Status
Subject Mosaic (TV series) E374434 entity
Predicate platform P1292 FINISHED
Object HBO Go E697665 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 Go | Statement: [Mosaic (TV series), platform, HBO Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO Go
Context triple: [Mosaic (TV series), platform, HBO Go]
  • A. 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.
  • B. HBO Go (in the United States) chosen
    HBO Go (in the United States) was HBO’s former streaming platform that allowed cable subscribers to watch HBO content on-demand online and via apps before it was phased out in favor of HBO Max.
  • C. Hulu
    Hulu is a U.S.-based subscription streaming service offering on-demand access to a wide range of television shows, films, and original content.
  • D. 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."
  • E. HBO
    HBO is the Dutch sector of universities of applied sciences that focuses on professionally oriented higher education and practical training.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c3efb48190ad94d9d326c6c2c0 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:11 a.m.