diff --git a/graphiti_core/prompts/extract_edges.py b/graphiti_core/prompts/extract_edges.py
index dc73cbf5..ce4f8f1c 100644
--- a/graphiti_core/prompts/extract_edges.py
+++ b/graphiti_core/prompts/extract_edges.py
@@ -23,17 +23,23 @@ from .prompt_helpers import to_prompt_json
 
 
 class Edge(BaseModel):
-    relation_type: str = Field(..., description='FACT_PREDICATE_IN_SCREAMING_SNAKE_CASE')
-    source_entity_id: int = Field(..., description='The id of the source entity of the fact.')
-    target_entity_id: int = Field(..., description='The id of the target entity of the fact.')
-    fact: str = Field(..., description='')
+    relation_type: str = Field(
+        ..., description="FACT_PREDICATE_IN_SCREAMING_SNAKE_CASE"
+    )
+    source_entity_id: int = Field(
+        ..., description="The id of the source entity of the fact."
+    )
+    target_entity_id: int = Field(
+        ..., description="The id of the target entity of the fact."
+    )
+    fact: str = Field(..., description="")
     valid_at: str | None = Field(
         None,
-        description='The date and time when the relationship described by the edge fact became true or was established. Use ISO 8601 format (YYYY-MM-DDTHH:MM:SS.SSSSSSZ)',
+        description="The date and time when the relationship described by the edge fact became true or was established. Use ISO 8601 format (YYYY-MM-DDTHH:MM:SS.SSSSSSZ)",
     )
     invalid_at: str | None = Field(
         None,
-        description='The date and time when the relationship described by the edge fact stopped being true or ended. Use ISO 8601 format (YYYY-MM-DDTHH:MM:SS.SSSSSSZ)',
+        description="The date and time when the relationship described by the edge fact stopped being true or ended. Use ISO 8601 format (YYYY-MM-DDTHH:MM:SS.SSSSSSZ)",
     )
 
 
@@ -60,13 +66,13 @@ class Versions(TypedDict):
 def edge(context: dict[str, Any]) -> list[Message]:
     return [
         Message(
-            role='system',
-            content='You are an expert fact extractor that extracts fact triples from text. '
-            '1. Extracted fact triples should also be extracted with relevant date information.'
-            '2. Treat the CURRENT TIME as the time the CURRENT MESSAGE was sent. All temporal information should be extracted relative to this time.',
+            role="system",
+            content="You are an expert fact extractor that extracts fact triples from text. "
+            "1. Extracted fact triples should also be extracted with relevant date information."
+            "2. Treat the CURRENT TIME as the time the CURRENT MESSAGE was sent. All temporal information should be extracted relative to this time.",
         ),
         Message(
-            role='user',
+            role="user",
             content=f"""
 <FACT TYPES>
 {context['edge_types']}
@@ -111,7 +117,7 @@ You may use information from the PREVIOUS MESSAGES only to disambiguate referenc
 2. Each fact must involve two **distinct** entities.
 3. Use a SCREAMING_SNAKE_CASE string as the `relation_type` (e.g., FOUNDED, WORKS_AT).
 4. Do not emit duplicate or semantically redundant facts.
-5. The `fact_text` should quote or closely paraphrase the original source sentence(s).
+5. The `fact_text` should closely paraphrase the original source sentence(s). Do not verbatim quote the original text.
 6. Use `REFERENCE_TIME` to resolve vague or relative temporal expressions (e.g., "last week").
 7. Do **not** hallucinate or infer temporal bounds from unrelated events.
 
@@ -151,19 +157,19 @@ Given the above MESSAGES, list of EXTRACTED ENTITIES entities, and list of EXTRA
 determine if any facts haven't been extracted.
 """
     return [
-        Message(role='system', content=sys_prompt),
-        Message(role='user', content=user_prompt),
+        Message(role="system", content=sys_prompt),
+        Message(role="user", content=user_prompt),
     ]
 
 
 def extract_attributes(context: dict[str, Any]) -> list[Message]:
     return [
         Message(
-            role='system',
-            content='You are a helpful assistant that extracts fact properties from the provided text.',
+            role="system",
+            content="You are a helpful assistant that extracts fact properties from the provided text.",
         ),
         Message(
-            role='user',
+            role="user",
             content=f"""
 
         <MESSAGE>
@@ -189,7 +195,7 @@ def extract_attributes(context: dict[str, Any]) -> list[Message]:
 
 
 versions: Versions = {
-    'edge': edge,
-    'reflexion': reflexion,
-    'extract_attributes': extract_attributes,
+    "edge": edge,
+    "reflexion": reflexion,
+    "extract_attributes": extract_attributes,
 }