Brad Lander
E265196
Brad Lander is an American politician and progressive Democrat who serves as the New York City Comptroller and previously represented Brooklyn in the New York City Council.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Brad Lander canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1670935 — 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: Brad Lander Context triple: [New York City Comptroller, officeHolder, Brad Lander]
-
A.
Kevin Swanson
Kevin Swanson is a recurring character on the animated TV show "Family Guy," known as the paraplegic son of Joe and Bonnie Swanson.
-
B.
Ryan Crocker
Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
-
C.
David Stavens
David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
-
D.
Matthew Rutler
Matthew Rutler is an American film production assistant and guitarist best known for his long-term relationship and marriage to singer Christina Aguilera.
-
E.
Don Beyer
Don Beyer is an American Democratic politician and former Lieutenant Governor of Virginia who serves in the U.S. House of Representatives.
- 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: Brad Lander Target entity description: Brad Lander is an American politician and progressive Democrat who serves as the New York City Comptroller and previously represented Brooklyn in the New York City Council.
-
A.
Kevin Swanson
Kevin Swanson is a recurring character on the animated TV show "Family Guy," known as the paraplegic son of Joe and Bonnie Swanson.
-
B.
Ryan Crocker
Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
-
C.
David Stavens
David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
-
D.
Matthew Rutler
Matthew Rutler is an American film production assistant and guitarist best known for his long-term relationship and marriage to singer Christina Aguilera.
-
E.
Don Beyer
Don Beyer is an American Democratic politician and former Lieutenant Governor of Virginia who serves in the U.S. House of Representatives.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Democrat
ⓘ
New York City politician ⓘ human ⓘ politician ⓘ |
| almaMater |
Brooklyn College
ⓘ
surface form:
Brooklyn College (CUNY)
University of Cape Town ⓘ University of Chicago ⓘ |
| assumedOffice | New York City Comptroller on January 1, 2022 ⓘ |
| coFounderOf |
New York City Council
ⓘ
surface form:
New York City Council Progressive Caucus
|
| countryOfCitizenship | United States of America ⓘ |
| dateOfBirth | 1969 ⓘ |
| educatedIn |
social theory
ⓘ
urban planning ⓘ |
| electedIn | 2021 New York City Comptroller election ⓘ |
| endorsedBy |
Alexandria Ocasio-Cortez in 2021 comptroller race
ⓘ
Elizabeth Warren in 2021 comptroller race ⓘ The New York Times editorial board in 2021 comptroller race ⓘ |
| familyName | Lander ⓘ |
| givenName | Brad ⓘ |
| hasChild | 2 children ⓘ |
| ideology | progressivism ⓘ |
| memberOf |
New York City Council
ⓘ
surface form:
New York City Council Progressive Caucus
|
| name | Brad Lander self-link ⓘ |
| notableFor |
advocacy for police accountability reforms
ⓘ
climate and sustainability initiatives in New York City ⓘ progressive housing policy advocacy ⓘ support for participatory budgeting in New York City ⓘ |
| occupation |
community organizer
ⓘ
nonprofit executive ⓘ politician ⓘ |
| officeContested | New York City Comptroller ⓘ |
| placeOfBirth |
St. Louis, Missouri, United States
ⓘ
surface form:
St. Louis, Missouri
|
| placeOfResidence | Brooklyn ⓘ |
| politicalParty | Democratic Party ⓘ |
| positionHeld |
Co-director of the Fifth Avenue Committee
ⓘ
Deputy Leader for Policy of the New York City Council ⓘ Director of the Pratt Center for Community Development ⓘ Member of the New York City Council ⓘ New York City Comptroller ⓘ |
| religion | Judaism ⓘ |
| representedBorough | Brooklyn ⓘ |
| representedInOffice | New York City Council District 39 ⓘ |
| representedNeighborhood |
Borough Park
ⓘ
surface form:
Borough Park (parts)
Carroll Gardens ⓘ Cobble Hill ⓘ Kensington ⓘ Park Slope ⓘ Windsor Terrace ⓘ |
| spouse | Meg Barnette ⓘ |
| workLocation | New York City ⓘ |
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: Brad Lander Description of subject: Brad Lander is an American politician and progressive Democrat who serves as the New York City Comptroller and previously represented Brooklyn in the New York City Council.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.