I don't think we can actually reduce this to just "<description>". In the general case, there is no problem with learning "<name> is <description>" and "<descri

I don't think we can actually reduce this to just "<description>". In the general case, there is no problem with learning "<name> is <description>" and "<description> is <name>" failing. It should fail because you go from the general, i.e. description, to the specific, i.e. name. The problem - to me - seems to be that the specific description is equivalent to one and only one person, and that is what the models seem incapable of learning; that for all x, y matching that particular description, x=y, and exists only one person matching said description.