Biometrika
E665239
Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Biometrika canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T7454036 — 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: Biometrika Context triple: [Karl Pearson, founded, Biometrika]
-
A.
Proceedings of the Royal Society
Proceedings of the Royal Society is a long-running, peer-reviewed scientific journal series publishing original research across the biological and physical sciences under the auspices of the Royal Society.
-
B.
Philosophical Transactions of the Royal Society
Philosophical Transactions of the Royal Society is a pioneering scientific journal, first published in 1665, that is widely regarded as the world’s oldest continuously published journal devoted to science.
-
C.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
-
D.
Biological Journal of the Linnean Society
Biological Journal of the Linnean Society is a peer-reviewed scientific journal focusing on evolutionary biology and related disciplines, published on behalf of the Linnean Society of London.
-
E.
Journal of Biosciences
The Journal of Biosciences is a peer-reviewed scientific journal covering research across the biological sciences, published by the Indian Academy of Sciences.
- 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: Biometrika Target entity description: Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
-
A.
Proceedings of the Royal Society
Proceedings of the Royal Society is a long-running, peer-reviewed scientific journal series publishing original research across the biological and physical sciences under the auspices of the Royal Society.
-
B.
Philosophical Transactions of the Royal Society
Philosophical Transactions of the Royal Society is a pioneering scientific journal, first published in 1665, that is widely regarded as the world’s oldest continuously published journal devoted to science.
-
C.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
-
D.
Biological Journal of the Linnean Society
Biological Journal of the Linnean Society is a peer-reviewed scientific journal focusing on evolutionary biology and related disciplines, published on behalf of the Linnean Society of London.
-
E.
Journal of Biosciences
The Journal of Biosciences is a peer-reviewed scientific journal covering research across the biological sciences, published by the Indian Academy of Sciences.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
scientific journal ⓘ statistics journal ⓘ |
| abbreviation | Biometrika ⓘ |
| accepts |
original research
ⓘ
short papers ⓘ technical notes ⓘ |
| articleType |
methodological papers
ⓘ
research articles ⓘ statistical theory papers ⓘ |
| associatedWith | Biometrika Trust ⓘ |
| countryOfPublication | United Kingdom ⓘ |
| discipline |
biostatistics
ⓘ
mathematical statistics ⓘ probability theory ⓘ |
| eissn | 1464-3510 ⓘ |
| field |
probability theory
ⓘ
statistics ⓘ |
| focus |
probability
ⓘ
theoretical statistics ⓘ |
| format |
online
ⓘ
print ⓘ |
| foundedBy |
Francis Galton
ⓘ
Karl Pearson ⓘ Weldon ⓘ |
| foundingYear | 1901 ⓘ |
| hasEditorialBoard | true ⓘ |
| hasWebsite | https://academic.oup.com/biomet ⓘ |
| indexedIn |
Current Contents
ⓘ
Science Citation Index ⓘ Scopus ⓘ |
| issn | 0006-3444 ⓘ |
| language | English ⓘ |
| notableFor |
contributions to theoretical statistics
ⓘ
historical role in development of biometry ⓘ |
| peerReviewed | true ⓘ |
| publicationFrequency | quarterly ⓘ |
| publishedFor | Biometrika Trust ⓘ |
| publisher | Oxford University Press ⓘ |
| subjectArea |
life sciences
ⓘ
natural sciences ⓘ social sciences ⓘ |
| targetAudience |
applied mathematicians
ⓘ
probabilists ⓘ statisticians ⓘ |
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: Biometrika Description of subject: Biometrika is a leading peer-reviewed scientific journal specializing in theoretical statistics and probability.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.