Triple

T2289799
Position Surface form Disambiguated ID Type / Status
Subject Burlesque E51475 entity
Predicate productionCompany P490 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: [Burlesque, productionCompany, Screen Gems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Screen Gems
Context triple: [Burlesque, productionCompany, 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. 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.
  • D. Reel Mall
    Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
  • E. The Heart of Screenland
    The Heart of Screenland is the official motto of Culver City, California, reflecting its historic role as a major center of film and television production.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc273b67c8190bcd96f9a484647ef completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1e84ac819096cb62ce5e94d865 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.