The document discusses named entity recognition, which involves locating and classifying atomic elements like names, organizations, locations, quantities, and times into predefined categories. It provides examples of entity mapping candidates for the string "Armstrong" and discusses how context, ambiguity, and accuracy are used to select the correct entity. It also discusses using semantic graphs and linked data to analyze entities and help with the selection process.