Triple

T2470647
Position Surface form Disambiguated ID Type / Status
Subject Hanna-Barbera E55363 entity
Predicate distributionPartner P1951 FINISHED
Object Screen Gems E65277 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: Screen Gems | Statement: [Hanna-Barbera, distributionPartner, Screen Gems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Screen Gems
Context triple: [Hanna-Barbera, distributionPartner, Screen Gems]
  • A. Screen Gems chosen
    Screen Gems is an American film production and distribution company, and a division of Sony Pictures Entertainment, known for releasing a variety of mid-budget genre and commercial films.
  • B. Sky Cinema
    Sky Cinema is a group of premium film channels and on-demand movie services operated by Sky in the UK and Ireland, offering a wide range of recent releases and classic films.
  • C. FilmStruck
    FilmStruck was a subscription-based streaming service specializing in classic, arthouse, and independent films, including titles from the Criterion Collection.
  • D. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • E. Silver Pictures
    Silver Pictures is an American film production company founded by producer Joel Silver, known for action and genre films such as the Lethal Weapon and Die Hard series.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd136f5388190801d0b9dc66ad36f completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a29c2c8190b9e7b49d086ad9d5 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.