Triple
T22379598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scoob! |
E553235
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Ryan Folsey |
—
|
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: Ryan Folsey | Statement: [Scoob!, editedBy, Ryan Folsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Folsey Context triple: [Scoob!, editedBy, Ryan Folsey]
-
A.
Ryan Folsey
chosen
Ryan Folsey is a film editor known for his work on the 2023 horror-comedy movie "Renfield."
-
B.
D. J. Foskett
D. J. Foskett was a British librarian and information scientist noted for his influential work in classification theory and the development of faceted classification systems.
-
C.
Brendan Fowler
Brendan Fowler is an American artist and musician known for his experimental work in performance, visual art, and indie music.
-
D.
Mike Fellows
Mike Fellows is an American musician best known as a bassist and multi-instrumentalist associated with influential indie and experimental bands, including his work with Silver Jews.
-
E.
Keith Follesé
Keith Follesé is an American country music songwriter known for penning numerous hits for major Nashville artists.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582afe6c819093940f9d817c64a8 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.