Jo Dunkley
E929794
Jo Dunkley is a British astrophysicist and cosmologist known for her work on the cosmic microwave background and the large-scale structure of the universe.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jo Dunkley canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11505377 — 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: Jo Dunkley Context triple: [Princeton University Observatory, hasNotableMember, Jo Dunkley]
-
A.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
B.
Lang Fisher
Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
-
C.
Nick Daley
Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
- 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: Jo Dunkley Target entity description: Jo Dunkley is a British astrophysicist and cosmologist known for her work on the cosmic microwave background and the large-scale structure of the universe.
-
A.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
B.
Lang Fisher
Lang Fisher is a television writer, producer, and co-creator of the Netflix teen comedy series "Never Have I Ever."
-
C.
Nick Daley
Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
astrophysicist ⓘ cosmologist ⓘ human ⓘ |
| awardReceived |
Fowler Award
ⓘ
Maxwell Medal and Prize ⓘ New Horizons in Physics Prize ⓘ Royal Society Wolfson Research Merit Award ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| educatedAt |
University of Cambridge
ⓘ
linked to:
Cambridge University
University of Oxford ⓘ |
| employer |
Princeton University
ⓘ
University of Oxford ⓘ |
| familyName | Dunkley ⓘ |
| fieldOfWork |
astrophysics
ⓘ
cosmic microwave background ⓘ cosmology ⓘ large-scale structure of the universe ⓘ observational cosmology ⓘ statistical analysis of cosmological data ⓘ |
| gender | female ⓘ |
| givenName | Jo ⓘ |
| languageSpoken | English ⓘ |
| memberOf |
Atacama Cosmology Telescope collaboration
ⓘ
linked to:
Atacama Cosmology Telescope
Planck collaboration ⓘ
linked to:
Planck Collaboration
WMAP collaboration ⓘ
linked to:
WMAP Team
|
| nationality | British ⓘ |
| notableWork |
constraints on dark energy and dark matter from CMB data
ⓘ
contributions to measurements of cosmological parameters ⓘ public outreach in cosmology ⓘ research on the cosmic microwave background ⓘ research on the large-scale structure of the universe ⓘ |
| occupation |
astrophysicist
ⓘ
cosmologist ⓘ |
| positionHeld |
Professor of Astrophysical Sciences at Princeton University
ⓘ
Professor of Physics at Princeton University ⓘ Professor of Physics at the University of Oxford ⓘ |
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: Jo Dunkley Description of subject: Jo Dunkley is a British astrophysicist and cosmologist known for her work on the cosmic microwave background and the large-scale structure of the universe.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.