Triple
T20128871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bragg-Mitchell Mansion |
E490832
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Bragg |
—
|
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: John Bragg | Statement: [Bragg-Mitchell Mansion, namedAfter, John Bragg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bragg Context triple: [Bragg-Mitchell Mansion, namedAfter, John Bragg]
-
A.
John Bragg
chosen
John Bragg was a prominent 19th-century figure from Mobile, Alabama, for whom the historic Bragg-Mitchell Mansion is named.
-
B.
Thomas Bragg
Thomas Bragg was an American politician and lawyer who served as a U.S. senator and governor of North Carolina before becoming attorney general of the Confederate States during the Civil War.
-
C.
George Oatley
George Oatley was a British architect best known for designing prominent early 20th-century buildings in Bristol, England.
-
D.
James Isaacs
James Isaacs is a game designer best known for his work on the racing title Mad Dash Racing.
-
E.
John Gillies
John Gillies is a name shared by several notable individuals, including historians, politicians, and public figures from English-speaking countries.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6675fe3d48190b0c20b483a951e68 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.