Triple

T6369577
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Scott Cannon E143312 entity
Predicate employer P7 FINISHED
Object MTV E10132 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 | Statement: [Nicholas Scott Cannon, employer, MTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV
Context triple: [Nicholas Scott Cannon, employer, 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 (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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068265a7481908571be7ea4ac11b7 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8bce3481909b0bf7533b330d1f completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.