Triple

T10323823
Position Surface form Disambiguated ID Type / Status
Subject Let Me In E242707 entity
Predicate productionCompany P490 FINISHED
Object Exclusive Media Group E783378 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: Exclusive Media Group | Statement: [Let Me In, productionCompany, Exclusive Media Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exclusive Media Group
Context triple: [Let Me In, productionCompany, Exclusive Media Group]
  • A. Exclusive Media Group chosen
    Exclusive Media Group is an independent film production and financing company known for backing and producing a range of high-profile feature films and documentaries.
  • B. Core Media Group
    Core Media Group is an American media and entertainment company best known for producing popular reality television franchises such as "American Idol."
  • C. Cobalt Media Group
    Cobalt Media Group is a film production company known for its involvement in producing the Western drama movie "Open Range."
  • D. 1+1 Media Group
    1+1 Media Group is a major Ukrainian media holding company that operates television channels, digital platforms, and other media assets.
  • E. Mosaic Media Group
    Mosaic Media Group is an American entertainment company known for producing and managing film and television projects through its work with prominent Hollywood talent.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7503f3df88190bc5acb5e5295f787 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:50 a.m.