diff --git a/sdmetrics/reports/multi_table/_properties/cardinality.py b/sdmetrics/reports/multi_table/_properties/cardinality.py
index 6601e359..e3e1726f 100644
--- a/sdmetrics/reports/multi_table/_properties/cardinality.py
+++ b/sdmetrics/reports/multi_table/_properties/cardinality.py
@@ -33,7 +33,7 @@ def _generate_details(self, real_data, synthetic_data, metadata, progress_bar=No
             float:
                 The average score for the property for all the individual metric scores computed.
         """
-        child_tables, parent_tables = [], []
+        child_tables, parent_tables, child_foreign_key = [], [], []
         metric_names, scores, error_messages = [], [], []
         for relation in metadata.get('relationships', []):
             relationships_metadata = {'relationships': [relation]}
@@ -53,6 +53,7 @@ def _generate_details(self, real_data, synthetic_data, metadata, progress_bar=No
 
             child_tables.append(relation['child_table_name'])
             parent_tables.append(relation['parent_table_name'])
+            child_foreign_key.append(relation['child_foreign_key'])
             metric_names.append('CardinalityShapeSimilarity')
             scores.append(relation_score)
             error_messages.append(error_message)
@@ -60,43 +61,12 @@ def _generate_details(self, real_data, synthetic_data, metadata, progress_bar=No
         self.details = pd.DataFrame({
             'Child Table': child_tables,
             'Parent Table': parent_tables,
+            'Foreign Key': child_foreign_key,
             'Metric': metric_names,
             'Score': scores,
             'Error': error_messages,
         })
 
-    def _get_details_for_table_name(self, table_name):
-        """Return the details for the given table name.
-
-        Args:
-            table_name (str):
-                Table name to get the details for.
-
-        Returns:
-            pandas.DataFrame:
-                The details for the given table name.
-        """
-        is_child = self.details['Child Table'] == table_name
-        is_parent = self.details['Parent Table'] == table_name
-        return self.details[is_child | is_parent].copy()
-
-    def get_details(self, table_name=None):
-        """Return the details for the property.
-
-        Args:
-            table_name (str):
-                Table name to get the details for.
-                Defaults to ``None``.
-
-        Returns:
-            pandas.DataFrame:
-                The details for the property.
-        """
-        if table_name is None:
-            return self.details.copy()
-
-        return self._get_details_for_table_name(table_name)
-
     def _get_table_relationships_plot(self, table_name):
         """Get the table relationships plot from the parent child relationship scores for a table.
 
@@ -107,9 +77,12 @@ def _get_table_relationships_plot(self, table_name):
         Returns:
             plotly.graph_objects._figure.Figure
         """
-        plot_data = self._get_details_for_table_name(table_name).copy()
+        plot_data = self.get_details(table_name).copy()
         column_name = 'Child → Parent Relationship'
-        plot_data[column_name] = plot_data['Child Table'] + ' → ' + plot_data['Parent Table']
+        plot_data[column_name] = (
+            plot_data['Child Table'] + ' (' + plot_data['Foreign Key'] + ') → ' +
+            plot_data['Parent Table']
+        )
         plot_data = plot_data.drop(['Child Table', 'Parent Table'], axis=1)
 
         average_score = round(plot_data['Score'].mean(), 2)