Triple

T8904793
Position Surface form Disambiguated ID Type / Status
Subject The State E212026 entity
Predicate productionCompany P490 FINISHED
Object MTV Productions E278039 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: MTV Productions | Statement: [The State, productionCompany, MTV Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Productions
Context triple: [The State, productionCompany, MTV Productions]
  • A. MTV Productions chosen
    MTV Productions is a television and film production company associated with MTV, known for creating popular reality and youth-oriented programming.
  • B. MTV Networks
    MTV Networks is a major American media company best known for operating the MTV cable channel and related youth-oriented television and entertainment brands.
  • C. MTV Oy
    MTV Oy is a Finnish media company best known for operating the nationwide commercial television channel MTV3 and related broadcasting services.
  • D. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • E. MTV Music
    MTV Music is a music-focused television brand under the broader MTV network, dedicated primarily to airing music videos and related music programming.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c2509881908fb692522d348e96 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba2cb5e48190813e9c08198149b0 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.