Triple

T20229258
Position Surface form Disambiguated ID Type / Status
Subject MTV Europe Music Award for Best Alternative E495471 entity
Predicate presentedBy P83 FINISHED
Object MTV Europe 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 Europe | Statement: [MTV Europe Music Award for Best Alternative, presentedBy, MTV Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Europe
Context triple: [MTV Europe Music Award for Best Alternative, presentedBy, MTV Europe]
  • A. MTV Europe chosen
    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 Germany
    MTV Germany is a German-language music and entertainment television channel targeting youth audiences with music videos, reality shows, and pop culture programming.
  • C. MTV UK
    MTV UK is the British and Irish version of the global MTV television network, featuring music, reality, and entertainment programming tailored to UK audiences.
  • D. MTV Canada
    MTV Canada is a Canadian specialty television channel focused on youth-oriented music, pop culture, and reality programming.
  • E. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fdc2590819089a946d16c6c0e59 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.