That's definitely deployed in production, e.g. to link entities to a summary page in news articles, or in information extraction systems. In practice it's very

That's definitely deployed in production, e.g. to link entities to a summary page in news articles, or in information extraction systems. In practice it's very driven by information retrieval, especially the coverage of the synonym list provided in the ontology. Relevance scores for each ontology entry are also super important. Disambiguation is getting better with neural networks, but it's still really hard. If you have two entities matching for some text, picking the most frequent one gives you a very strong baseline.