Triple
T5124389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Boone |
E115548
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boone |
E165414
|
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: Boone | Statement: [Ron Boone, familyName, Boone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boone Context triple: [Ron Boone, familyName, Boone]
-
A.
Boone
chosen
Boone is a surname most prominently associated with American figures such as baseball player and manager Aaron Boone and frontiersman Daniel Boone.
-
B.
Boone, North Carolina
Boone, North Carolina is a small Appalachian college town in the Blue Ridge Mountains, known for Appalachian State University and its outdoor recreation and mountain culture.
-
C.
Woodfin
Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
-
D.
Richard Pleasant
Richard Pleasant was an American arts administrator and producer best known for helping establish the American Ballet Theatre as a major national ballet company.
-
E.
Oakey
Oakey is a rural town in Queensland, Australia, situated on the Darling Downs west of Toowoomba.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7805c55c8190bc0540d755dc6242 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4b7c628819097fb933be59ecefe |
completed | March 21, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:42 p.m.