Triple
T9545984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hughes Gossett |
E230286
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | insulin patient |
C20163
|
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: insulin patient Context triple: [Elizabeth Hughes Gossett, instanceOf, insulin patient]
-
A.
insulin pump
An insulin pump is a wearable medical device that delivers precise, continuous doses of insulin to help people with diabetes manage their blood glucose levels.
-
B.
diabetes treatment device
A diabetes treatment device is a medical tool or system designed to monitor blood glucose levels and/or deliver therapies such as insulin to help individuals manage and control their diabetes.
-
C.
Novo Nordisk facility
A Novo Nordisk facility is a specialized pharmaceutical and biotechnology site where the company researches, develops, manufactures, and/or distributes its healthcare products, particularly for diabetes and chronic diseases.
-
D.
GLP-1 receptor agonist
A GLP-1 receptor agonist is a medication that mimics the incretin hormone GLP-1 to enhance insulin secretion, suppress glucagon, slow gastric emptying, and reduce appetite, primarily for treating type 2 diabetes and supporting weight loss.
-
E.
medical case study subject
chosen
A medical case study subject is an individual patient or instance whose clinical presentation, history, and outcomes are systematically documented and analyzed to illustrate, explore, or teach about specific medical conditions, treatments, or phenomena.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:02 p.m.