Triple

T23459227
Position Surface form Disambiguated ID Type / Status
Subject Logo TV E568919 entity
Predicate partOf P40 FINISHED
Object MTV Entertainment Group 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 Entertainment Group | Statement: [Logo TV, partOf, MTV Entertainment Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Entertainment Group
Context triple: [Logo TV, partOf, MTV Entertainment Group]
  • 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 Productions
    MTV Productions is a television and film production company associated with MTV, known for creating popular reality and youth-oriented programming.
  • C. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • D. MTV Oy
    MTV Oy is a Finnish media company best known for operating the nationwide commercial television channel MTV3 and related broadcasting services.
  • E. MCA Music Entertainment Group
    MCA Music Entertainment Group was a major American music company that served as the parent organization for MCA Records and other music-related businesses under the MCA brand.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a699c0088190a84d7a495a3e3d61 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.