Triple
T25929449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence A. Blanchfield |
E653394
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | military nurse |
C3681
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: military nurse Context triple: [Florence A. Blanchfield, instanceOf, military nurse]
-
A.
nurse
chosen
A nurse is a trained healthcare professional who provides patient care, supports medical treatment, and promotes health and well-being across diverse clinical and community settings.
-
B.
Union Army nurse
A Union Army nurse is a medical caregiver who provided treatment, comfort, and support to Union soldiers during the American Civil War, often working in harsh and dangerous conditions near battlefields and military hospitals.
-
C.
military medical branch
A military medical branch is the specialized division of a nation's armed forces responsible for providing healthcare, medical support, and emergency treatment to military personnel in both peacetime and combat operations.
-
D.
nursing role in armed conflict
The nursing role in armed conflict encompasses providing frontline and ongoing medical care, psychological support, triage, and advocacy for wounded soldiers and civilians under hazardous, resource-limited, and ethically complex conditions.
-
E.
United States Navy hospital corpsman
A United States Navy hospital corpsman is an enlisted medical specialist trained to provide clinical care, emergency treatment, and preventive medicine to sailors and Marines in both shore-based and operational environments, including combat zones.
- F. None of above.
Provenance (1 batch)
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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 8:36 a.m.