Triple

T10598465
Position Surface form Disambiguated ID Type / Status
Subject MTV Asia E275678 entity
Predicate hasSisterChannel P6991 FINISHED
Object MTV Hits E288474 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 Hits | Statement: [MTV Asia, hasSisterChannel, MTV Hits]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Hits
Context triple: [MTV Asia, hasSisterChannel, MTV Hits]
  • A. MTV Hits chosen
    MTV Hits is a music television channel focused on playing contemporary hit music videos and related pop culture programming.
  • B. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • C. 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.
  • D. MTV Classic
    MTV Classic is a television channel that primarily airs nostalgic music videos and programming from MTV’s earlier decades.
  • E. Smash Hits
    Smash Hits was a popular British music magazine aimed at teenagers, best known for its pop-focused coverage, song lyrics, and playful interviews during the 1980s and 1990s.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded358248190ba9268a51b2805fc completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e9c1a7c8190a91ad479518e411f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:29 p.m.