Triple
T16642276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Buncombe |
E404369
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Buncombe |
E74071
|
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: Buncombe | Statement: [Edward Buncombe, familyName, Buncombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buncombe Context triple: [Edward Buncombe, familyName, Buncombe]
-
A.
Bladen
Bladen is the middle name of Thomas Bladen Alexander, an individual whose full name incorporates this distinctive given name.
-
B.
Buncombe County, North Carolina
chosen
Buncombe County, North Carolina is a mountainous county in western North Carolina best known as home to the city of Asheville and the historic Biltmore Estate.
-
C.
Catawba County
Catawba County is a county in western North Carolina known for its manufacturing base and inclusion in the greater Charlotte metropolitan region.
-
D.
Stanly County
Stanly County is a county in central North Carolina that forms part of the greater Charlotte metropolitan region.
-
E.
Lenoir
Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bb4cec819091d9b7b2a09248ee |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.