Triple

T10738716
Position Surface form Disambiguated ID Type / Status
Subject Viva E253262 entity
Predicate ownedBy P347 FINISHED
Object MTV Networks Europe E275643 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 Networks Europe | Statement: [Viva, ownedBy, MTV Networks Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Networks Europe
Context triple: [Viva, ownedBy, MTV Networks Europe]
  • A. MTV Europe
    MTV Europe is the European branch of the MTV television network, focusing on music and youth-oriented entertainment programming for audiences across Europe.
  • B. MTV Networks chosen
    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 Australia
    MTV Australia is the Australian pay television channel of the global MTV network, featuring music videos, pop culture programming, and locally produced shows tailored to Australian audiences.
  • D. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • E. MTV Latin America
    MTV Latin America is a regional feed of the MTV television network that broadcasts music videos, pop culture programming, and youth-oriented shows tailored to audiences across Latin America.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22ed6edc8190beb76bd2971c7cec completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:14 p.m.