Triple

T20071602
Position Surface form Disambiguated ID Type / Status
Subject Pauly Shore E499751 entity
Predicate positionHeld P8 FINISHED
Object MTV VJ 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 VJ | Statement: [Pauly Shore, positionHeld, MTV VJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTV VJ
Context triple: [Pauly Shore, positionHeld, MTV VJ]
  • A. MTV VJs chosen
    MTV VJs were on-air hosts for the music television network MTV, known for introducing music videos, interviewing artists, and shaping pop culture in the 1980s and 1990s.
  • B. MTV
    MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
  • C. MTV3
    MTV3 is one of Finland’s largest commercial television channels, known for its wide range of entertainment, news, and sports programming.
  • 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. VH1
    VH1 is an American cable television network known for music-related programming and pop culture reality shows.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.