Data Mining of Wikipedia Pages

Hello, Basically this project is to grab information about historic events & people from Wikipedia & Freebase (which has all of the Wikipedia data but in database form) and import it into a spread sheet . I hope to utilize Google Refine for the project, but I am open to suggestions [login to view URL] After you see the 3 video clip on Google Refine you will see exactly what we are doing in using Freebase to gather the Wikipedia data by searching on the name, or events, or Wikipedia links found in the respective base resources. There are 3 basic groups of data: #1) 1,000 of the most important people (see attached text doc) #2) Universal history from the 4 timeline graphics from [login to view URL] #3) Events: From these wiki pages below - [login to view URL] - [login to view URL] - [login to view URL] - [login to view URL] I all cases we are collecting, names, alphabetic names, titles, Wikipedia page, birth/start date, death/end date, an image, the Wikipedia summary, a few tag words, and a couple other items depending on group. I'm sure this will generate some detailed questions, but this should be enough to decide if this is something you are interested in. I will want a copy of your work at various steps to make sure we are not missing anything, or wrongly filtering items. (ie a copy of your Google Refine projects) It is a plus if you have worked similar project etc. Please let me know if you have an suggestions or ideas that my be a better. Cheers