We make two observations: First, deriving new facts for these generics tensors at a high precision is challenging!
none of the baseline methods (black and pink curves), which represent state of the art for named-entity tensors, achieve a yield of more than 10% of T (i.e., 1K predictions) even at a precision of just 60%.