Triple
T18135569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Doniphon |
E434126
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Shinbone (fictional town) |
—
|
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: Shinbone (fictional town) | Statement: [Tom Doniphon, setIn, Shinbone (fictional town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinbone (fictional town) Context triple: [Tom Doniphon, setIn, Shinbone (fictional town)]
-
A.
Nollville
Nollville is an unincorporated rural community located in Berkeley County, West Virginia, United States.
-
B.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
C.
Snickersville
Snickersville was the historic name of the rural village now known as Bluemont in Loudoun County, Virginia.
-
D.
Hooterville
chosen
Hooterville is a fictional rural farming community best known as the quirky small-town setting of the classic American sitcoms "Green Acres" and "Petticoat Junction."
-
E.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0677088190aaf584882b3d74a1 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.