Triple

T8640049
Position Surface form Disambiguated ID Type / Status
Subject Dogma E204621 entity
Predicate castMember P1668 FINISHED
Object Jason Mewes E556143 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: Jason Mewes | Statement: [Dogma, castMember, Jason Mewes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Mewes
Context triple: [Dogma, castMember, 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. 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.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb10f0881908db334cd090d3231 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.