Create a calculated table

Yes, this worked the way I expected. I used a slicer for ITEM and a table for the Names table and it worked like a champ. Here are the queries I used.

Items table

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUfIsSc0F0UZG1kamSrE60UpGUFEQbWhgDRE0hgoagwUNlGJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, ITEMS = _t, TABLE2_IDS = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"ITEMS", type text}, {"TABLE2_IDS", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type","TABLE2_IDS",Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv),{"TABLE2_IDS.1", "TABLE2_IDS.2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"TABLE2_IDS.1", Int64.Type}, {"TABLE2_IDS.2", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"ID", "ITEMS"}, "Attribute", "Value"),
    #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Value", "TABLE2_IDS"}})
in
    #"Renamed Columns"

Names table

let
 Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlXSUfJLzE01VIrViVYyNIByjcBcIyMo1xjChSk2gSqGqTZVio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, NAMES = _t]),
 #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}})
in
 #"Changed Type"