Triple
T7731020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Monson |
E175251
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medical marijuana patient |
C9583
|
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: medical marijuana patient Context triple: [Diane Monson, instanceOf, medical marijuana patient]
-
A.
American medical cannabis patient
chosen
An American medical cannabis patient is an individual in the United States who has received legal authorization from a licensed healthcare provider to use cannabis products for the treatment or management of qualifying medical conditions under state-specific medical marijuana laws.
-
B.
drug user
A drug user is an individual who consumes legal or illegal psychoactive substances, either occasionally or habitually, which may affect their physical, mental, or social well-being.
-
C.
medical case study subject
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.
-
D.
medical researcher
A medical researcher is a professional who systematically investigates diseases, treatments, and health-related phenomena to generate new knowledge and improve medical care.
-
E.
medical contingent
A medical contingent is a group of healthcare professionals and support staff organized to provide medical services and emergency care in a specific location, event, or operational context.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
Created at: March 27, 2026, 4:06 p.m.