Triple

T4042452
Position Surface form Disambiguated ID Type / Status
Subject Kristen E83981 entity
Predicate workProductionCompany P14415 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: [Kristen, workProductionCompany, Screen Gems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Screen Gems
Context triple: [Kristen, workProductionCompany, 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. Flix
    Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
  • C. Flix
    Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
  • D. ScreenX
    ScreenX is a premium cinema technology that expands movie visuals onto the side walls of the theater to create an immersive, panoramic viewing experience.
  • E. 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.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5b65c08190ba3f340ed18737f8 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564d0fb881909ba645714be27b95 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.