Empirically, the supervised KPCA-based model nearly always disambiguates target words of this kind to the most frequent sense.
for this particular subset of test instances, the precision achieved by the KPCA-based model is essentially no higher than the precision achieved by the most-frequent-sense baseline model (which simply always selects the most frequent sense for the target word).