Triple
T21040403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reg Varney |
E518304
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Devon |
—
|
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: Devon | Statement: [Reg Varney, residence, Devon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devon Context triple: [Reg Varney, residence, Devon]
-
A.
Devon
chosen
Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
-
B.
Devon
Devon is a residential neighbourhood located within the city of Fredericton in New Brunswick, Canada.
-
C.
Devon
Devon is a suburban community on the Philadelphia Main Line in Pennsylvania, best known for hosting the historic Devon Horse Show and Country Fair.
-
D.
Devon
Devon is a unisex given name of English origin, often associated with both people and places, including the English county of Devon.
-
E.
Devon
Devon is the central protagonist of the 1970s Canadian science fiction television series "The Starlost," who discovers the truth about his generation starship and seeks to save its inhabitants.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.