Triple

T22496292
Position Surface form Disambiguated ID Type / Status
Subject View Askew Productions E556148 entity
Predicate notableCollaborator P8554 FINISHED
Object Jason Mewes 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: Jason Mewes | Statement: [View Askew Productions, notableCollaborator, Jason Mewes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Mewes
Context triple: [View Askew Productions, notableCollaborator, Jason Mewes]
  • A. Jason Mewes chosen
    Jason Mewes is an American actor and comedian best known for playing the talkative stoner Jay in Kevin Smith’s View Askewniverse films.
  • B. Rob Schneider
    Rob Schneider is an American actor and comedian known for his roles in numerous Adam Sandler films and other broad Hollywood comedies.
  • C. Eric Wareheim
    Eric Wareheim is an American comedian, actor, writer, director, and one half of the surreal comedy duo Tim & Eric, known for their offbeat television series and experimental humor.
  • D. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • E. Greg Sestero
    Greg Sestero is an American actor, writer, and producer best known for co-starring in the cult film "The Room" and co-authoring the memoir "The Disaster Artist" about its creation.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb2644c819094864bd88bcebcbd completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.