Triple

T21288109
Position Surface form Disambiguated ID Type / Status
Subject Joseline Hernandez E524714 entity
Predicate televisionNetwork P833 FINISHED
Object VH1 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: VH1 | Statement: [Joseline Hernandez, televisionNetwork, VH1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VH1
Context triple: [Joseline Hernandez, televisionNetwork, VH1]
  • A. VH1 chosen
    VH1 is an American cable television network known for music-related programming and pop culture reality shows.
  • B. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • C. 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.
  • D. MTV Classic
    MTV Classic is a television channel that primarily airs nostalgic music videos and programming from MTV’s earlier decades.
  • E. 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.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.