Triple
T10743931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Lanier |
E253396
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Macon, Georgia |
E9418
|
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: Macon, Georgia | Statement: [Sidney Lanier, residence, Macon, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macon, Georgia Context triple: [Sidney Lanier, residence, Macon, Georgia]
-
A.
Macon
Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
-
B.
Macon
Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
-
C.
Macon, Georgia, United States
chosen
Macon, Georgia, United States is a historic city in central Georgia known for its rich musical heritage, antebellum architecture, and role as the birthplace of Delta Air Lines.
-
D.
Oglethorpe, Georgia
Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
-
E.
Macon metropolitan area
The Macon metropolitan area is a regional urban and economic hub in central Georgia centered on the city of Macon and its surrounding communities.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b6b4b48190bad08500fa963062 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff78257b88190942308719d9fa6a6 |
completed | April 15, 2026, 8:39 p.m. |
Created at: April 8, 2026, 9:15 p.m.