LLMs and KGs in practice
Building KGs with LLMs — The Use Case of the Rockefeller Archive Center
How we used GPT to perform Named Entity Recognition, Relation Extraction, and Entity Resolution on typewritten documents from the beginning of the 20th century
The original article, co-authored with Alessia Melania Lonoce, is available on the GraphAware website
In the first half of the 20th century, several scientists made enormous contributions to science and technology in different fields. Among them are several Nobel Prize winners, including Albert Einstein, Ernest Lawrence, and Niels Bohr, who made fundamental contributions to physics studies.
But what about their role as fundraisers? And what about their influence in funding research topics unrelated to their scientific contribution, such as life sciences and biology?
Institutions such as the Rockefeller Archive Center (RAC) collect information about science funding, including its long tail. In particular, RAC is a major repository and research center for studying the Rockefeller Foundation’s (RF) philanthropic activities and their impact worldwide. Among the documents used in this project, there are the Officer Diaries…
