Triple
T19789424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapped Ashes |
E475368
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Jayce Bartok |
—
|
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: Jayce Bartok | Statement: [Trapped Ashes, hasCastMember, Jayce Bartok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jayce Bartok Context triple: [Trapped Ashes, hasCastMember, Jayce Bartok]
-
A.
Jayce Bartok
chosen
Jayce Bartok is an American actor, writer, and director known for his work in independent films and television.
-
B.
Billy Jenkins
Billy Jenkins is a name shared by several notable individuals, including musicians and athletes, recognized within their respective fields.
-
C.
Jeremiah Zagar
Jeremiah Zagar is an American filmmaker known for directing the acclaimed documentary "In a Dream" and the coming-of-age drama "We the Animals."
-
D.
Erik Barmack
Erik Barmack is a film and television producer and former Netflix executive known for developing and overseeing international original content.
-
E.
Jay Tarses
Jay Tarses is an American television writer, producer, and actor known for his work on acclaimed comedy series such as "The Bob Newhart Show" and "Buffalo Bill."
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.