ME to WE
E759275
ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ME to WE canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8800330 — 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: ME to WE Context triple: [Craig Kielburger, coFounderOf, ME to WE]
-
A.
WE
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
-
B.
MEU
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
-
C.
Weme
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
-
D.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
-
E.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
- 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: ME to WE Target entity description: ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
-
A.
WE
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
-
B.
MEU
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
-
C.
Weme
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
-
D.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
-
E.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
for-profit company
ⓘ
social enterprise ⓘ |
| affiliatedWith | WE Charity NERFINISHED ⓘ |
| aimsTo |
connect consumers with social impact
ⓘ
create sustainable funding for charity ⓘ engage youth in social change ⓘ |
| associatedWith | WE Day events ⓘ |
| basedIn | Canada NERFINISHED ⓘ |
| businessModel | social enterprise model ⓘ |
| collaboratesWith |
community organizations
ⓘ
corporate partners ⓘ schools ⓘ |
| focusesOn |
ethical consumerism
ⓘ
global citizenship education ⓘ youth leadership development ⓘ |
| foundedBy |
Craig Kielburger
NERFINISHED
ⓘ
Marc Kielburger NERFINISHED ⓘ |
| generatesRevenueFrom |
leadership training
ⓘ
product sales ⓘ travel experiences ⓘ |
| hasProgramType |
leadership camps
ⓘ
school workshops ⓘ volunteer travel ⓘ |
| offers |
educational programs
ⓘ
ethically sourced products ⓘ volunteer trips ⓘ |
| operatesIn |
North America
ⓘ
developing communities abroad ⓘ |
| productCategory |
artisan-made goods
ⓘ
fair trade products ⓘ social impact merchandise ⓘ |
| promotes |
community development
ⓘ
ethical sourcing ⓘ volunteerism ⓘ |
| provides |
school-based programs
ⓘ
service-learning trips ⓘ youth leadership training ⓘ |
| sector |
education and youth development
ⓘ
international development ⓘ social entrepreneurship ⓘ |
| supports |
global development initiatives
ⓘ
youth empowerment initiatives ⓘ |
| targetsAudience |
educators
ⓘ
socially conscious consumers ⓘ students ⓘ |
| usesProfitsFor |
funding charitable initiatives
ⓘ
supporting WE Charity programs ⓘ |
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: ME to WE Description of subject: ME to WE is a social enterprise that supports youth empowerment and global development initiatives through ethically sourced products, volunteer trips, and educational programs.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.