Triple
T23420975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clerks III |
E560648
|
entity |
| Predicate | starredActor |
P5563
|
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: [Clerks III, starredActor, Jason Mewes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Mewes Context triple: [Clerks III, starredActor, 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54605dc81909aad9834ef6ff8a1 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:45 p.m.