Triple

T18261518
Position Surface form Disambiguated ID Type / Status
Subject MTV Movie Award for Best Hero E437367 entity
Predicate presentedBy P83 FINISHED
Object MTV 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 | Statement: [MTV Movie Award for Best Hero, presentedBy, MTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV
Context triple: [MTV Movie Award for Best Hero, presentedBy, MTV]
  • A. MTV chosen
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • B. 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.
  • C. 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.
  • 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 Classic
    MTV Classic is a television channel that primarily airs nostalgic music videos and programming from MTV’s earlier decades.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff76a1208190abbe6ab8720ed154 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.