Michael E. DeBakey VA Medical Center
E474510
Michael E. DeBakey VA Medical Center is a major Veterans Affairs hospital in Houston, Texas, providing comprehensive healthcare services to military veterans and serving as a key teaching and research institution.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael E. DeBakey VA Medical Center canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4862179 — 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: Michael E. DeBakey VA Medical Center Context triple: [Texas Medical Center, hasPart, Michael E. DeBakey VA Medical Center]
-
A.
Johns Hopkins Hospital
Johns Hopkins Hospital is a renowned academic medical center in Baltimore, Maryland, recognized globally for its pioneering research, advanced clinical care, and role in training physicians.
-
B.
Texas Medical Center
Texas Medical Center is a vast healthcare and research complex in Houston, Texas, recognized as one of the largest medical centers in the world.
-
C.
Johns Hopkins Medical Institutions
Johns Hopkins Medical Institutions is a major academic medical center in Baltimore that integrates hospitals, research facilities, and educational institutions affiliated with Johns Hopkins University.
-
D.
MedStar Washington Hospital Center
MedStar Washington Hospital Center is a major not-for-profit teaching and research hospital in Washington, D.C., known for its comprehensive tertiary and quaternary care services.
-
E.
University of Texas Medical Branch
The University of Texas Medical Branch is a major academic health science center and teaching hospital complex located in Galveston, Texas.
- 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: Michael E. DeBakey VA Medical Center Target entity description: Michael E. DeBakey VA Medical Center is a major Veterans Affairs hospital in Houston, Texas, providing comprehensive healthcare services to military veterans and serving as a key teaching and research institution.
-
A.
Johns Hopkins Hospital
Johns Hopkins Hospital is a renowned academic medical center in Baltimore, Maryland, recognized globally for its pioneering research, advanced clinical care, and role in training physicians.
-
B.
Texas Medical Center
Texas Medical Center is a vast healthcare and research complex in Houston, Texas, recognized as one of the largest medical centers in the world.
-
C.
Johns Hopkins Medical Institutions
Johns Hopkins Medical Institutions is a major academic medical center in Baltimore that integrates hospitals, research facilities, and educational institutions affiliated with Johns Hopkins University.
-
D.
MedStar Washington Hospital Center
MedStar Washington Hospital Center is a major not-for-profit teaching and research hospital in Washington, D.C., known for its comprehensive tertiary and quaternary care services.
-
E.
University of Texas Medical Branch
The University of Texas Medical Branch is a major academic health science center and teaching hospital complex located in Galveston, Texas.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Veterans Affairs hospital
ⓘ
research hospital ⓘ teaching hospital ⓘ |
| affiliatedWith |
Baylor College of Medicine
ⓘ
McGovern Medical School at UTHealth Houston ⓘ Prairie View A&M University College of Nursing ⓘ Texas A&M College of Medicine ⓘ
linked to:
Texas A&M University Health Science Center
University of Houston College of Medicine ⓘ University of Texas Health Science Center at Houston ⓘ other regional nursing and allied health schools ⓘ |
| cityServed | Houston metropolitan area ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| focusesOn |
cardiovascular care
ⓘ
geriatrics ⓘ oncology care ⓘ post-traumatic stress disorder care ⓘ rehabilitation medicine ⓘ veterans’ health ⓘ |
| governedBy |
federal government of the United States
ⓘ
linked to:
United States government
|
| healthcareSystem |
VA health care system
ⓘ
linked to:
Veterans Health Administration
|
| locatedIn |
Harris County, Texas
ⓘ
linked to:
Harris County
Houston, Texas ⓘ
linked to:
Houston
Texas ⓘ |
| namedAfter |
Michael E. DeBakey
ⓘ
Michael Ellis DeBakey ⓘ
linked to:
Michael E. DeBakey
|
| namedAfterAffiliation | Baylor College of Medicine ⓘ |
| namedAfterOccupation | cardiovascular surgeon ⓘ |
| network | Veterans Integrated Service Network 16 ⓘ |
| operatedBy | United States Department of Veterans Affairs ⓘ |
| partOf |
VA Heart of Texas Health Care Network
ⓘ
Veterans Health Administration ⓘ |
| regionServed |
southeast Texas
ⓘ
linked to:
Southeast Texas
|
| researchArea |
clinical research
ⓘ
health services research ⓘ veterans’ health outcomes ⓘ |
| role |
major research institution
ⓘ
major teaching institution ⓘ |
| serves | military veterans ⓘ |
| serviceType |
diagnostic imaging
ⓘ
emergency care ⓘ inpatient care ⓘ laboratory services ⓘ mental health services ⓘ outpatient care ⓘ pharmacy services ⓘ primary care ⓘ rehabilitation services ⓘ specialty care ⓘ surgical services ⓘ telehealth services ⓘ |
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: Michael E. DeBakey VA Medical Center Description of subject: Michael E. DeBakey VA Medical Center is a major Veterans Affairs hospital in Houston, Texas, providing comprehensive healthcare services to military veterans and serving as a key teaching and research institution.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.