Triple
T10297761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eatonton, Georgia |
E241540
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | William Eaton |
E322383
|
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: William Eaton | Statement: [Eatonton, Georgia, namedAfter, William Eaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Eaton Context triple: [Eatonton, Georgia, namedAfter, William Eaton]
-
A.
William Eaton
chosen
William Eaton was an early 19th-century U.S. Army officer and diplomat best known for leading the overland expedition that captured Derna during the First Barbary War.
-
B.
Matthias N. Forney
Matthias N. Forney was a 19th-century American mechanical engineer and locomotive designer who played a key role in the early professionalization of mechanical engineering in the United States.
-
C.
George Thurston
George Thurston was a naval architect known for his role in designing major warships, including early 20th-century battlecruisers such as the Kongō class.
-
D.
John Y. Knox
John Y. Knox is an individual notable enough to be recognized as a prominent bearer of the surname Knox.
-
E.
James Sibley
James Sibley was a benefactor whose contributions to healthcare led to a major Washington, D.C. hospital being named in his honor.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ed50908190962f0d6d049fb964 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d2cc9c48190bc36f6a4f8144b7f |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:43 a.m.