diff --git a/Spacy_Neo4j_Gutenberg_Book/Spacy NER with Neo4j Clustering on Gutenberg book.ipynb b/Spacy_Neo4j_Gutenberg_Book/Spacy NER with Neo4j Clustering on Gutenberg book.ipynb
index c290eeb..940a20a 100644
--- a/Spacy_Neo4j_Gutenberg_Book/Spacy NER with Neo4j Clustering on Gutenberg book.ipynb	
+++ b/Spacy_Neo4j_Gutenberg_Book/Spacy NER with Neo4j Clustering on Gutenberg book.ipynb	
@@ -42,12 +42,12 @@
    "source": [
     "# import spacy and load an NLP model\n",
     "import spacy\n",
-    "nlp = spacy.load(\"en_core_web_lg\")\n"
+    "nlp = spacy.load(\"en_core_web_lg\", disable=[\"tagger\", \"parser\"])\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -71,13 +71,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Elphbergs Rudolf\n",
       "Rudolf Rose\n",
       "Robert Ancestry\n",
       "Ancestry Rose\n",
@@ -86,18 +87,18 @@
       "Rudolf Robert\n",
       "Robert Rudolf\n",
       "Ruritania Burlesdon\n",
-      "Burlesdon George II\n",
+      "Lady Burlesdon George II\n",
       "George II King\n",
-      "Rudolf the Third Ruritania  \n",
+      "Rudolf the Third Ruritania\n",
       "Burlesdon Amelia\n",
       "James Burlesdon\n",
       "Burlesdon a Knight of the Garter\n",
       "a Knight of the Garter Rudolf\n",
-      "a Knight of the Garter Ruritania  \n",
-      "Rudolf Ruritania  \n",
+      "a Knight of the Garter Ruritania\n",
+      "Rudolf Ruritania\n",
       "Jacob Jacob\n",
       "Jacob Rudolf\n",
-      "Elphberg Elphberg\n",
+      "Elphbergs Elphberg\n",
       "Elphberg Rudolf\n",
       "Bob Rose\n"
      ]
@@ -155,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -180,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -265,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {
     "scrolled": true
    },
@@ -277,17 +278,17 @@
        "        <iframe\n",
        "            width=\"500\"\n",
        "            height=\"500\"\n",
-       "            src=\"graph-c7184742-d275-4c41-acad-ec7ad9682de7.html\"\n",
+       "            src=\"graph-7285cc03-44b1-45f2-b786-dfedebb1d149.html\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x7ff17bfd9c88>"
+       "<IPython.lib.display.IFrame at 0x7f8eb1188278>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -316,7 +317,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {