Triple

T20177883
Position Surface form Disambiguated ID Type / Status
Subject Viva La Bam E492647 entity
Predicate productionCompany P490 FINISHED
Object MTV Productions 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: MTV Productions | Statement: [Viva La Bam, productionCompany, MTV Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Productions
Context triple: [Viva La Bam, 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. MTC Productions
    MTC Productions is a theatrical production company known for producing notable Broadway works such as the play "Love! Valour! Compassion!".
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ec4d7c81909fa4bdc58ed54aeb completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.