Triple
T17909821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bunch of Full Grown Geese |
E447791
|
entity |
| Predicate | basedOnCharactersBy |
P15277
|
FINISHED |
| Object | J. G. Quintel |
—
|
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: J. G. Quintel | Statement: [A Bunch of Full Grown Geese, basedOnCharactersBy, J. G. Quintel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. G. Quintel Context triple: [A Bunch of Full Grown Geese, basedOnCharactersBy, J. G. Quintel]
-
A.
J. G. Quintel
chosen
J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
-
B.
J. C. Hawthorne
J. C. Hawthorne was a prominent Oregon physician and mental health pioneer after whom Portland’s Hawthorne Bridge is named.
-
C.
R. G. Tifft
R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
-
D.
J. E. Calder
J. E. Calder was a 19th-century Tasmanian surveyor and writer known for documenting and collecting information on Tasmanian Aboriginal languages and culture.
-
E.
George Leonard
George Leonard was an American writer, editor, and educator known as a leading figure in the human potential movement and a key contributor to the development of transformative learning practices.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.