Triple

T18308717
Position Surface form Disambiguated ID Type / Status
Subject Doug Belgrad E438557 entity
Predicate founded P104 FINISHED
Object 2.0 Entertainment NE NERFINISHED

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: 2.0 Entertainment | Statement: [Doug Belgrad, founded, 2.0 Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2.0 Entertainment
Context triple: [Doug Belgrad, founded, 2.0 Entertainment]
  • A. 2.0 Entertainment chosen
    2.0 Entertainment is a film production company best known for co-producing the action-comedy sequel "Bad Boys for Life."
  • B. 2D Entertainment
    2D Entertainment is an Indian film production company known for producing Tamil-language movies, co-founded and run by actor Suriya and his family.
  • C. Vertical Entertainment
    Vertical Entertainment is an American film distribution company known for releasing independent and genre films, often through limited theatrical and video-on-demand platforms.
  • D. World 2000 Entertainment
    World 2000 Entertainment is a film and television production company best known for producing the historical drama series "Vikings."
  • E. Electric Entertainment
    Electric Entertainment is an independent film, television, and digital production company founded by Dean Devlin, known for producing genre and adventure series and movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021709f88190a8047dd57edc2029 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.