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OpenAI researchers present a novel approach to entity disambiguation using type discovery, where a system predicts entity types from a pre-chosen category set to resolve ambiguous references. The method achieves state-of-the-art results on entity disambiguation datasets and enables efficient O(N) runtime entity ranking through type-based weighting.