Your export evidence blog 529

Ambiguity is where most knowledge workflows get expensive. It rarely starts with a dramatic failure. More often, it shows up as small, persistent friction. A person record looks right until you notice there are three people with the same name. A place matches cleanly in one source and loosely in another. A title, organization, or product appears in a search result, but the evidence is too thin to say with confidence that it is the thing you meant. Anyone who has worked o

A recurring mistake in entity resolution work is subtle, but costly. Teams see agreement between two knowledge sources and treat that agreement as proof that a person, place, organization, or work has been identified correctly. It feels efficient. It also creates bad links, especially when names are common, records are sparse, or source data carries its own inherited ambiguity. That is why the framing behind the open source Wikidata + Google Knowledge Graph MCP is worth

Record linking sounds simple until you have to do it at scale, under scrutiny, with records that were never designed to line up cleanly. A person name can point to five plausible entities. An organization can change names, merge, split, or show up in one source under an acronym and in another under a formal legal title. A place can have variants across languages. Once you start linking local records to Wikidata QIDs, the real job is not search alone. It is judgment, evidenc