Norman Phillips
E542056
Norman Phillips was an American meteorologist and pioneer in numerical weather prediction whose work helped lay the foundations for modern climate and atmospheric modeling.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Norman Phillips canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5696272 — 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: Norman Phillips Context triple: [Jule Gregory Charney, influenced, Norman Phillips]
-
A.
Norman Pike
Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
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B.
Norman Ferguson
Norman Ferguson was an American animator and film director at Walt Disney Studios, best known for his influential work on classic Disney features during the Golden Age of animation.
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C.
Norman Blake
Norman Blake is an American acoustic guitarist and songwriter renowned for his influential work in bluegrass, folk, and Americana music.
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D.
Norman Riley
Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
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E.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
- 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: Norman Phillips Target entity description: Norman Phillips was an American meteorologist and pioneer in numerical weather prediction whose work helped lay the foundations for modern climate and atmospheric modeling.
-
A.
Norman Pike
Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
-
B.
Norman Ferguson
Norman Ferguson was an American animator and film director at Walt Disney Studios, best known for his influential work on classic Disney features during the Golden Age of animation.
-
C.
Norman Blake
Norman Blake is an American acoustic guitarist and songwriter renowned for his influential work in bluegrass, folk, and Americana music.
-
D.
Norman Riley
Norman Riley is a distinguished mathematician and fluid dynamicist recognized for his influential contributions to theoretical and applied fluid mechanics.
-
E.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
American
ⓘ
meteorologist ⓘ person ⓘ scientist ⓘ |
| contributedTo |
development of general circulation models
ⓘ
development of numerical weather prediction models ⓘ understanding of atmospheric dynamics ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| describedBySource |
historical accounts of numerical weather prediction
ⓘ
literature on climate and atmospheric modeling foundations ⓘ |
| fieldOfWork |
atmospheric modeling
ⓘ
atmospheric science ⓘ climate modeling ⓘ meteorology ⓘ numerical weather prediction ⓘ |
| genre | scientific research ⓘ |
| hasGender | male ⓘ |
| influenced |
development of atmospheric general circulation models
ⓘ
modern climate modeling ⓘ modern weather forecasting ⓘ |
| languageOfWorkOrName | English ⓘ |
| movement |
modern climate science
ⓘ
modern numerical weather prediction ⓘ |
| notableFor |
foundational contributions to atmospheric modeling
ⓘ
foundational contributions to modern climate modeling ⓘ pioneering work in numerical weather prediction ⓘ |
| occupation |
meteorologist
ⓘ
research scientist ⓘ |
| workLocation | United States of America ⓘ |
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: Norman Phillips Description of subject: Norman Phillips was an American meteorologist and pioneer in numerical weather prediction whose work helped lay the foundations for modern climate and atmospheric modeling.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.