Triple

T14378286
Position Surface form Disambiguated ID Type / Status
Subject MTV Oy E356530 entity
Predicate brand P1500 FINISHED
Object MTV3 E72610 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: MTV3 | Statement: [MTV Oy, brand, MTV3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV3
Context triple: [MTV Oy, brand, MTV3]
  • A. MTV3 chosen
    MTV3 is one of Finland’s largest commercial television channels, known for its wide range of entertainment, news, and sports programming.
  • B. MTV Tr3́s
    MTV Tr3́s was a U.S. cable television network targeting bilingual Latino youth with a mix of music, pop culture, and lifestyle programming.
  • C. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • D. MTV2
    MTV2 is an American cable television channel that originally focused on alternative and rock music videos and later expanded to feature a mix of music, comedy, and reality programming aimed at a younger audience.
  • E. 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.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.