SU2C UK
E813090
SU2C UK is the United Kingdom’s Stand Up To Cancer fundraising campaign, run in partnership with Channel 4 to support groundbreaking cancer research.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T9675431 — 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: SU2C UK Context triple: [Stand Up To Cancer UK campaign (with Channel 4), hasAbbreviation, SU2C UK]
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A.
Cancer Research UK
Cancer Research UK is the world’s largest independent cancer research charity, funding and conducting research to prevent, diagnose, and treat cancer primarily in the United Kingdom.
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B.
Cancer Research UK Beatson Institute
Cancer Research UK Beatson Institute is a leading cancer research center in Glasgow, Scotland, focused on understanding the biology of cancer to develop new treatments and therapies.
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C.
Cancer Research UK Manchester Institute
Cancer Research UK Manchester Institute is a leading cancer research center based in Manchester, focusing on understanding cancer biology and developing new treatments in partnership with academic and clinical institutions.
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D.
Institute of Cancer Research
The Institute of Cancer Research is a specialized branch of Canada’s federal health research funding agency that focuses on supporting and coordinating cancer-related research initiatives.
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E.
CRUK Cambridge Institute
CRUK Cambridge Institute is a leading cancer research center at the University of Cambridge that integrates laboratory science with clinical and computational approaches to improve cancer diagnosis, treatment, and prevention.
- 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: SU2C UK Target entity description: SU2C UK is the United Kingdom’s Stand Up To Cancer fundraising campaign, run in partnership with Channel 4 to support groundbreaking cancer research.
-
A.
Cancer Research UK
Cancer Research UK is the world’s largest independent cancer research charity, funding and conducting research to prevent, diagnose, and treat cancer primarily in the United Kingdom.
-
B.
Cancer Research UK Beatson Institute
Cancer Research UK Beatson Institute is a leading cancer research center in Glasgow, Scotland, focused on understanding the biology of cancer to develop new treatments and therapies.
-
C.
Cancer Research UK Manchester Institute
Cancer Research UK Manchester Institute is a leading cancer research center based in Manchester, focusing on understanding cancer biology and developing new treatments in partnership with academic and clinical institutions.
-
D.
Institute of Cancer Research
The Institute of Cancer Research is a specialized branch of Canada’s federal health research funding agency that focuses on supporting and coordinating cancer-related research initiatives.
-
E.
CRUK Cambridge Institute
CRUK Cambridge Institute is a leading cancer research center at the University of Cambridge that integrates laboratory science with clinical and computational approaches to improve cancer diagnosis, treatment, and prevention.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
cancer fundraising initiative
ⓘ
fundraising campaign ⓘ |
| activity |
fundraising
ⓘ
public awareness campaigns ⓘ |
| associatedWith |
Stand Up To Cancer (US initiative)
ⓘ
linked to:
Stand Up To Cancer
|
| beneficiaryType |
cancer patients
ⓘ
cancer researchers ⓘ |
| campaignFormat | periodic fundraising campaign ⓘ |
| campaignType |
national fundraising campaign
ⓘ
television-led fundraising campaign ⓘ |
| cause | cancer research ⓘ |
| collaboratesWith |
hospitals
ⓘ
research institutions ⓘ universities ⓘ |
| country | United Kingdom ⓘ |
| focus | cancer ⓘ |
| fullName | Stand Up To Cancer UK ⓘ |
| fundraisingMethods |
online donations
ⓘ
sponsored events ⓘ televised specials ⓘ |
| fundsUse |
cancer research projects
ⓘ
clinical trials ⓘ |
| geographicScope | United Kingdom ⓘ |
| goal |
accelerate cancer research
ⓘ
improve cancer survival rates ⓘ |
| hashtag |
#SU2C
ⓘ
linked to:
SU2C UK
#StandUpToCancer ⓘ |
| hasMedium |
online platforms
ⓘ
social media ⓘ television ⓘ |
| hasThemeColor |
black
ⓘ
orange ⓘ |
| language | English ⓘ |
| mediaPartner | Channel 4 ⓘ |
| organisedInPartnershipWith | Channel 4 ⓘ |
| parentCampaign | Stand Up To Cancer ⓘ |
| partner | Channel 4 ⓘ |
| purpose |
raise funds for cancer research
ⓘ
support groundbreaking cancer research ⓘ |
| sector |
charity
ⓘ
medical research ⓘ |
| shortName | SU2C UK ⓘ |
| symbol | upward arrow in logo ⓘ |
| targetAudience |
UK public
ⓘ
television viewers ⓘ |
| theme | Stand Up To Cancer ⓘ |
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: SU2C UK Description of subject: SU2C UK is the United Kingdom’s Stand Up To Cancer fundraising campaign, run in partnership with Channel 4 to support groundbreaking cancer research.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.