Triple

T14378297
Position Surface form Disambiguated ID Type / Status
Subject MTV Oy E356530 entity
Predicate hasSubsidiary P254 FINISHED
Object MTV Uutiset 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: MTV Uutiset | Statement: [MTV Oy, hasSubsidiary, MTV Uutiset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Uutiset
Context triple: [MTV Oy, hasSubsidiary, MTV Uutiset]
  • A. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • B. MTV Live
    MTV Live is a music-focused television channel and brand from MTV that primarily features live performances, concerts, and music-related programming.
  • C. MTV3 chosen
    MTV3 is one of Finland’s largest commercial television channels, known for its wide range of entertainment, news, and sports programming.
  • D. MTV Music
    MTV Music is a music-focused television brand under the broader MTV network, dedicated primarily to airing music videos and related music programming.
  • E. 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.
  • 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_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.