In particular, TR-R13 takes the output predictions of matrix factorization, and combines it with an entity-type aware RESCAL model . 3 Tensor factorization approaches perform poorly on this data. We present results for Model E, but other formulations such as PARAFAC, TransE, RESCAL, and Tucker2 achieved even lower accuracy; this is consistent with the results in .