This is because SPME learns word embeddings and entity embeddings in separate semantic spaces, and fails to measure the similarity between context words and candidate entities.
mPmE computes the similarity between context words with mention sense instead of entities, thus achieves the best performance, which also demonstrates the high quality of the mention sense embeddings.