A typical case for this situation is when there is a person that is very often mentioned, and few other persons having few mentions; when the number of clusters is passed in the input, the clusters representing the persons who are rarely mentioned are wrongly enriched.
this situation can be avoided if there is a measure of how probable it is to have a certain number of different persons with the same name, each being mentioned very often in a newspaper.