Triple
T16039787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Braun |
E389063
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | health informatics expert |
C36877
|
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: health informatics expert Context triple: [Paula Braun, instanceOf, health informatics expert]
-
A.
health informatics organization
A health informatics organization is an entity that develops, manages, and applies information systems and data standards to improve the collection, exchange, analysis, and use of health information for clinical, administrative, and public health purposes.
-
B.
healthcare data platform
A healthcare data platform is an integrated system that securely aggregates, standardizes, and analyzes medical and administrative data from diverse sources to support clinical decision-making, operations, and research.
-
C.
healthcare analytics platform
A healthcare analytics platform is a system that aggregates, processes, and analyzes clinical, operational, and financial health data to generate insights that improve patient outcomes, optimize workflows, and support data-driven decision-making.
-
D.
health information exchange backbone
A health information exchange backbone is the core infrastructure that securely connects disparate healthcare systems and organizations to enable standardized, real-time sharing of patient health data.
-
E.
healthcare entrepreneur
A healthcare entrepreneur is an individual who identifies unmet medical or wellness needs and builds innovative, sustainable ventures—often leveraging technology, services, or new care models—to improve health outcomes and patient experiences.
- F. None of above. chosen
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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:56 a.m.