Triple

T22496051
Position Surface form Disambiguated ID Type / Status
Subject Jason Mewes E556143 entity
Predicate birthName P65 FINISHED
Object Jason Edward 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 Edward Mewes | Statement: [Jason Mewes, birthName, Jason Edward Mewes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Edward Mewes
Context triple: [Jason Mewes, birthName, Jason Edward 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. Mike Kuchar
    Mike Kuchar is an American underground filmmaker and artist known for his campy, low-budget, and highly influential experimental films that helped define New York’s underground cinema scene in the 1960s.
  • 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 Schneider
    Rob Schneider is an American actor and comedian known for his roles in numerous Adam Sandler films and other broad Hollywood comedies.
  • E. Jeremy Sisto
    Jeremy Sisto is an American actor known for his roles in film and television, including prominent parts in projects like the teen comedy "Clueless" and the crime drama series "Law & Order."
  • 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, 8:49 p.m.