diff --git a/dagster_polars/io_managers/base.py b/dagster_polars/io_managers/base.py
index 36b7f9b..18bd401 100644
--- a/dagster_polars/io_managers/base.py
+++ b/dagster_polars/io_managers/base.py
@@ -269,32 +269,32 @@ def dump_to_path(
         else:
             assert obj is not None, "output should not be None if it's type is not Optional"
             if not annotation_for_storage_metadata(typing_type):
-                if typing_type == pl.DataFrame:
+                if typing_type in POLARS_EAGER_FRAME_ANNOTATIONS:
                     obj = cast(pl.DataFrame, obj)
                     df = obj
                     self.write_df_to_path(context=context, df=df, path=path)
-                elif typing_type == pl.LazyFrame:
+                elif typing_type in POLARS_LAZY_FRAME_ANNOTATIONS:
                     obj = cast(pl.LazyFrame, obj)
                     df = obj
                     self.sink_df_to_path(context=context, df=df, path=path)
                 else:
-                    raise NotImplementedError
+                    raise NotImplementedError(f"dump_df_to_path for {typing_type} is not implemented")
             else:
                 if not annotation_is_typing_optional(typing_type):
                     frame_type = get_args(typing_type)[0]
                 else:
                     frame_type = get_args(get_args(typing_type)[0])[0]
 
-                if frame_type == pl.DataFrame:
+                if frame_type in POLARS_EAGER_FRAME_ANNOTATIONS:
                     obj = cast(Tuple[pl.DataFrame, Dict[str, Any]], obj)
                     df, metadata = obj
                     self.write_df_to_path(context=context, df=df, path=path, metadata=metadata)
-                elif frame_type == pl.LazyFrame:
+                elif frame_type in POLARS_LAZY_FRAME_ANNOTATIONS:
                     obj = cast(Tuple[pl.LazyFrame, Dict[str, Any]], obj)
                     df, metadata = obj
                     self.sink_df_to_path(context=context, df=df, path=path, metadata=metadata)
                 else:
-                    raise NotImplementedError
+                    raise NotImplementedError(f"dump_df_to_path for {typing_type} is not implemented")
 
     def load_from_path(
         self, context: InputContext, path: "UPath", partition_key: Optional[str] = None