validate both entities and intent

rasa_core/training/interactive.py

@@ -997,15 +997,23 @@ def _validate_user_text(latest_message: Dict[Text, Any],
     parse_data = latest_message.get("parse_data", {})
     text = _as_md_message(parse_data)
     intent = parse_data.get("intent", {}).get("name")
+    entities = parse_data.get("entities", [])
+    if entities:
+        entity = []
+        for e in entities:
+            entity.append('[' + e['value'] + '](' + e['entity'] + ')')
+    else:
+        entity = "'None'"
 
     if intent is None:
         print("The NLU classification for '{}' returned '{}'"
               "".format(text, intent))
         return False
     else:
         question = questionary.confirm(
-            "Is the NLU classification for '{}' with intent '{}' correct?"
-            "".format(text, intent))
+            "Is the NLU classification for '{}' with intent '{}' "
+            "and entities: {} correct?"
+            "".format(text, intent, entity))
 
         return _ask_or_abort(question, sender_id, endpoint)