Electronic Program Guides provide detailed information on TV programs, useful for offering user services or quality datasets. Unfortunately, their exploitation is limited by the absence of standardized semantics, text descriptions that are difficult to analyze and information that is often incomplete. This paper proposes the knowledge graph \(\textsf {stvd}\text {-}\textsf {kg}\) (for the KG of large-scale TV Dataset), which enriches a year’s worth of French TV EPGs by taking advantage of Wikidata and IMDb. This large KG (5.7M entities, 27.6M triples) contains 2.9M of publication events (corresponding to 1.7M television contents, 70k television collections, and 84k named entities). To achieve this, we use an ontology adapted to TV content and its broadcasting, based on the EBU Core ontology, schema.org and RDF-schema. We also propose original mechanisms for cross-enrichment of information coming from named entity recognition and entity linking systems. Experimental evaluation of the knowledge graph \(\textsf {stvd}\text {-}\textsf {kg}\) based on a ground truth shows its very high accuracy. The KG \(\textsf {stvd}\text {-}\textsf {kg}\) is made publicly available.