Padmanee Sharma
E909671
Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Padmanee Sharma canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11165305 — 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: Padmanee Sharma Context triple: [James P. Allison, spouse, Padmanee Sharma]
-
A.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
B.
Gursharan Kaur
Gursharan Kaur is an Indian public figure best known as the wife of former Prime Minister Manmohan Singh and for her role as India's First Lady from 2004 to 2014.
-
C.
Neetu Singh
Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
-
D.
Rima Jain
Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
-
E.
Divya Narendra
Divya Narendra is an American businessman and co-founder of the professional networking website SumZero, best known for his early involvement with the origins of Facebook.
- 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: Padmanee Sharma Target entity description: Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
-
A.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
B.
Gursharan Kaur
Gursharan Kaur is an Indian public figure best known as the wife of former Prime Minister Manmohan Singh and for her role as India's First Lady from 2004 to 2014.
-
C.
Neetu Singh
Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
-
D.
Rima Jain
Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
-
E.
Divya Narendra
Divya Narendra is an American businessman and co-founder of the professional networking website SumZero, best known for his early involvement with the origins of Facebook.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
cancer researcher
ⓘ
immunologist ⓘ oncologist ⓘ person ⓘ |
| awardReceived |
American Society of Clinical Oncology awards (various)
ⓘ
linked to:
American Society of Clinical Oncology
Stand Up To Cancer–Cancer Research Institute Immunology Dream Team grant (co-recipient) ⓘ |
| citizenship | United States of America ⓘ |
| degree |
MD
ⓘ
PhD ⓘ |
| educatedAt |
Boston University
ⓘ
Pennsylvania State University ⓘ Pennsylvania State University College of Medicine ⓘ
linked to:
Penn State College of Medicine
Weill Cornell Medical College ⓘ |
| employer | University of Texas MD Anderson Cancer Center ⓘ |
| fieldOfWork |
cancer immunotherapy
ⓘ
genitourinary cancers ⓘ immune checkpoint blockade ⓘ tumor immunology ⓘ |
| gender | female ⓘ |
| hasCollaboratedWith | James P. Allison ⓘ |
| hasPublicationType |
clinical trial studies
ⓘ
review articles on immunotherapy ⓘ translational research articles ⓘ |
| knownFor |
identifying mechanisms of resistance to checkpoint inhibitors
ⓘ
pioneering research in cancer immunotherapy ⓘ research on immune checkpoint blockade ⓘ translational studies of CTLA-4 blockade ⓘ |
| languageSpoken | English ⓘ |
| memberOf |
American Association for Cancer Research
ⓘ
American Society of Clinical Oncology ⓘ |
| nationality | American ⓘ |
| notableWork |
early clinical trials of CTLA-4 blockade in bladder cancer
ⓘ
studies defining immune correlates of response to checkpoint inhibitors ⓘ |
| occupation |
immunologist
ⓘ
oncologist ⓘ physician-scientist ⓘ |
| positionHeld |
Professor of Genitourinary Medical Oncology at MD Anderson Cancer Center
ⓘ
Professor of Immunology at MD Anderson Cancer Center ⓘ Scientific Director of Immunotherapy Platform at MD Anderson Cancer Center ⓘ |
| researchInterest |
CTLA-4
ⓘ
PD-1/PD-L1 pathway ⓘ T-cell activation in tumors ⓘ biomarkers of response to immunotherapy ⓘ |
| spouse | James P. Allison ⓘ |
| workLocation |
Houston, Texas
ⓘ
linked to:
Houston
|
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: Padmanee Sharma Description of subject: Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.