Regenstrief Institute
E208117
Regenstrief Institute is a medical research organization known for its pioneering work in health informatics and the development of widely used clinical data standards.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Regenstrief Institute canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T1870464 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regenstrief Institute Context triple: [LOINC, developedBy, Regenstrief Institute]
-
A.
Max Planck Institute for Demographic Research
The Max Planck Institute for Demographic Research is a leading German research institute specializing in the study of population dynamics, aging, and demographic change.
-
B.
Paul Ehrlich Institute
The Paul Ehrlich Institute is Germany’s federal agency and research institution responsible for the evaluation, authorization, and monitoring of vaccines and biomedicines.
-
C.
Robert Koch Foundation
The Robert Koch Foundation is a German organization that promotes medical and biomedical research, particularly in microbiology and infectious diseases, through prestigious awards and funding.
-
D.
Max Planck Institute for Human Development
The Max Planck Institute for Human Development is a Berlin-based research institute focused on interdisciplinary studies of human learning, development, and educational processes across the lifespan.
-
E.
Max Planck Institute for Heart and Lung Research
The Max Planck Institute for Heart and Lung Research is a German biomedical research institute specializing in fundamental studies of cardiovascular and respiratory systems, including their development, function, and related diseases.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regenstrief Institute Target entity description: Regenstrief Institute is a medical research organization known for its pioneering work in health informatics and the development of widely used clinical data standards.
-
A.
Max Planck Institute for Demographic Research
The Max Planck Institute for Demographic Research is a leading German research institute specializing in the study of population dynamics, aging, and demographic change.
-
B.
Paul Ehrlich Institute
The Paul Ehrlich Institute is Germany’s federal agency and research institution responsible for the evaluation, authorization, and monitoring of vaccines and biomedicines.
-
C.
Robert Koch Foundation
The Robert Koch Foundation is a German organization that promotes medical and biomedical research, particularly in microbiology and infectious diseases, through prestigious awards and funding.
-
D.
Max Planck Institute for Human Development
The Max Planck Institute for Human Development is a Berlin-based research institute focused on interdisciplinary studies of human learning, development, and educational processes across the lifespan.
-
E.
Max Planck Institute for Heart and Lung Research
The Max Planck Institute for Heart and Lung Research is a German biomedical research institute specializing in fundamental studies of cardiovascular and respiratory systems, including their development, function, and related diseases.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
health informatics research institute
ⓘ
medical research organization ⓘ nonprofit organization ⓘ |
| affiliatedWith |
Indiana University
ⓘ
Indiana University School of Medicine ⓘ |
| collaboratedWith |
Centers for Medicare & Medicaid Services
ⓘ
Regenstrief Center for Healthcare Engineering at Purdue University ⓘ U.S. Department of Veterans Affairs ⓘ
linked to:
United States Department of Veterans Affairs
|
| country |
United States
ⓘ
linked to:
United States of America
|
| developed |
Regenstrief EMR system
ⓘ
linked to:
Regenstrief Medical Record System
Regenstrief Medical Record System ⓘ |
| fieldOfWork |
clinical data standards
ⓘ
clinical decision support ⓘ electronic health records ⓘ geriatrics ⓘ health services research ⓘ medical informatics ⓘ primary care research ⓘ |
| focusesOn |
improving health outcomes
ⓘ
improving healthcare efficiency ⓘ improving healthcare quality ⓘ improving patient care ⓘ |
| foundedBy | Sam Regenstrief ⓘ |
| hasResearchArea |
aging and geriatrics
ⓘ
chronic disease management ⓘ health data analytics ⓘ healthcare delivery innovation ⓘ healthcare quality improvement ⓘ implementation science ⓘ patient-centered care ⓘ population health ⓘ |
| hasType | independent research institute ⓘ |
| knownFor |
development of clinical data standards
ⓘ
development of clinical decision support tools ⓘ development of electronic medical record systems ⓘ health information exchange research ⓘ pioneering work in health informatics ⓘ |
| locatedIn |
Indianapolis, Indiana
ⓘ
linked to:
Indianapolis
|
| namedAfter | Sam Regenstrief ⓘ |
| nonprofitStatus | 501(c)(3) organization ⓘ |
| operatesInSector |
biomedical research
ⓘ
healthcare ⓘ |
| regionServed |
Indiana
ⓘ
United States ⓘ
linked to:
United States of America
global healthcare community ⓘ |
| usesMethod |
clinical trials
ⓘ
data-driven research ⓘ health services research methods ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Regenstrief Institute Description of subject: Regenstrief Institute is a medical research organization known for its pioneering work in health informatics and the development of widely used clinical data standards.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.