Triple

T2677895
Position Surface form Disambiguated ID Type / Status
Subject MTV Live E56502 entity
Predicate partOf P40 FINISHED
Object MTV global network 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 global network | Statement: [MTV Live, partOf, MTV global network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV global network
Context triple: [MTV Live, partOf, MTV global network]
  • A. 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.
  • B. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • C. 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.
  • D. MTV Productions
    MTV Productions is a television and film production company associated with MTV, known for creating popular reality and youth-oriented programming.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b697fc8190a5ec8b75ee2ad238 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa065a6f48190973a3b6c52aa23bf completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.