Triple
T16642282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buncombe County |
E404369
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Edward Buncombe |
E404369
|
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: Edward Buncombe | Statement: [Buncombe County, namedAfter, Edward Buncombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Buncombe Context triple: [Buncombe County, namedAfter, Edward Buncombe]
-
A.
Edward Buncombe
chosen
Edward Buncombe was an American Revolutionary War officer from North Carolina after whom Buncombe County was named.
-
B.
Edward Blount
Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
-
C.
John Bulcock
John Bulcock was one of the accused individuals tried for witchcraft during the infamous 1612 Pendle witch trials in Lancashire, England.
-
D.
Charles Dobell
Charles Dobell was a Canadian-born British Army general noted for his service in colonial campaigns and the First World War, particularly in the Middle Eastern theatre.
-
E.
Edward Walson
Edward Walson is a film producer known for working on projects such as Woody Allen’s romantic comedy "Magic in the Moonlight."
- 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_6a0139e5f5988190a87b62d32bfb32fa |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:18 a.m.