Triple

T11554283
Position Surface form Disambiguated ID Type / Status
Subject Trailblazer Award E273973 entity
Predicate organizer P123 FINISHED
Object MTV Networks 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 Networks | Statement: [Trailblazer Award, organizer, MTV Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV Networks
Context triple: [Trailblazer Award, organizer, MTV Networks]
  • 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 Productions
    MTV Productions is a television and film production company associated with MTV, known for creating popular reality and youth-oriented 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. 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.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef12f0661081909c31de2c2cd304e3 completed April 27, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:37 p.m.