Triple
T12667328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis (2022 film) |
E302589
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Schuyler Weiss |
E302589
|
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: Schuyler Weiss | Statement: [Elvis (2022 film), producer, Schuyler Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schuyler Weiss Context triple: [Elvis (2022 film), producer, Schuyler Weiss]
-
A.
Schuyler Weiss
chosen
Schuyler Weiss is a film producer known for his work on the 2022 biographical musical drama "Elvis."
-
B.
Juliana Frink
Juliana Frink is a character from Philip K. Dick’s novel "The Man in the High Castle," known as the estranged wife of Frank Frink in the book’s alternate-history setting.
-
C.
Schuyler Fisk
Schuyler Fisk is an American actress and singer-songwriter known for her roles in films like "Orange County" and her work as a folk-pop musician.
-
D.
Marlena Rosenbluth
Marlena Rosenbluth is a glamorous circus performer and animal trainer who becomes the central love interest and emotional core of Sara Gruen’s novel "Water for Elephants."
-
E.
Adeline Fisher
Adeline Fisher was the first wife of English composer Ralph Vaughan Williams and a supportive figure in his early personal and artistic life.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688bfc048190970d281e66c34cdc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.