diff --git a/runners/anthropic_runner.py b/runners/anthropic_runner.py
index 2081afb..76c108c 100644
--- a/runners/anthropic_runner.py
+++ b/runners/anthropic_runner.py
@@ -189,7 +189,7 @@ def run_anthropic_eval(args):
                     db_name = row["db_name"]
                     db_type = row["db_type"]
                     try:
-                        is_correct = compare_query_results(
+                        exact_match, correct = compare_query_results(
                             query_gold=expected_query,
                             query_gen=query_gen,
                             db_name=db_name,
@@ -199,7 +199,7 @@ def run_anthropic_eval(args):
                             query_category=row["query_category"],
                             decimal_points=args.decimal_points,
                         )
-                        if is_correct:
+                        if correct:
                             total_correct += 1
                             row["is_correct"] = 1
                             row["error_msg"] = ""
diff --git a/runners/openai_runner.py b/runners/openai_runner.py
index 5d207ef..2c35194 100644
--- a/runners/openai_runner.py
+++ b/runners/openai_runner.py
@@ -23,10 +23,7 @@ def generate_prompt(
     db_type,
     instructions="",
     k_shot_prompt="",
-    glossary="",
     table_metadata_string="",
-    prev_invalid_sql="",
-    prev_error_msg="",
     public_data=True,
     shuffle=True,
 ):
@@ -88,6 +85,7 @@ def generate_prompt(
             table_metadata_string=pruned_metadata_str,
             k_shot_prompt=k_shot_prompt,
         )
+
     return prompt
 
 
@@ -100,10 +98,7 @@ def process_row(row, model_name, args):
         db_type=args.db_type,
         instructions=row["instructions"],
         k_shot_prompt=row["k_shot_prompt"],
-        glossary=row["glossary"],
         table_metadata_string=row["table_metadata_string"],
-        prev_invalid_sql=row["prev_invalid_sql"],
-        prev_error_msg=row["prev_error_msg"],
         public_data=not args.use_private_data,
         shuffle=args.shuffle_metadata,
     )
@@ -195,7 +190,7 @@ def run_openai_eval(args):
                     db_name = row["db_name"]
                     db_type = row["db_type"]
                     try:
-                        is_correct = compare_query_results(
+                        exact_match, correct = compare_query_results(
                             query_gold=expected_query,
                             query_gen=query_gen,
                             db_name=db_name,
@@ -204,7 +199,7 @@ def run_openai_eval(args):
                             query_category=row["query_category"],
                             db_creds=db_creds_all[db_type],
                         )
-                        if is_correct:
+                        if correct:
                             total_correct += 1
                             row["is_correct"] = 1
                             row["error_msg"] = ""
@@ -212,6 +207,7 @@ def run_openai_eval(args):
                             row["is_correct"] = 0
                             row["error_msg"] = "INCORRECT RESULTS"
                     except Exception as e:
+                        row["is_correct"] = 0
                         row["error_db_exec"] = 1
                         row["error_msg"] = f"EXECUTION ERROR: {str(e)}"
                 output_rows.append(row)