diff --git a/docetl/operations/reduce.py b/docetl/operations/reduce.py
index 36d0173e..254323a6 100644
--- a/docetl/operations/reduce.py
+++ b/docetl/operations/reduce.py
@@ -394,11 +394,13 @@ def process_group(
             ):
                 # If the fold batch size is greater than or equal to the number of items in the group,
                 # we can just run a single fold operation
-                result, prompts, cost = self._batch_reduce(key, group_list)
+                result, prompt, cost = self._batch_reduce(key, group_list)
+                prompts = [prompt]
             elif "fold_prompt" in self.config:
                 result, prompts, cost = self._incremental_reduce(key, group_list)
             else:
-                result, prompts, cost = self._batch_reduce(key, group_list)
+                result, prompt, cost = self._batch_reduce(key, group_list)
+                prompts = [prompt]
 
             total_cost += cost
 
diff --git a/docetl/operations/resolve.py b/docetl/operations/resolve.py
index 489c3a21..bcfec266 100644
--- a/docetl/operations/resolve.py
+++ b/docetl/operations/resolve.py
@@ -236,6 +236,16 @@ def execute(self, input_data: List[Dict]) -> Tuple[List[Dict], float]:
         if len(input_data) == 0:
             return [], 0
 
+        # Initialize observability data for all items at the start
+        if self.config.get("enable_observability", False):
+            observability_key = f"_observability_{self.config['name']}"
+            for item in input_data:
+                if observability_key not in item:
+                    item[observability_key] = {
+                        "comparison_prompts": [],
+                        "resolution_prompt": None
+                    }
+
         blocking_keys = self.config.get("blocking_keys", [])
         blocking_threshold = self.config.get("blocking_threshold")
         blocking_conditions = self.config.get("blocking_conditions", [])
@@ -340,7 +350,7 @@ def meets_blocking_conditions(pair: Tuple[int, int]) -> bool:
                 is_match(input_data[i], input_data[j]) if blocking_conditions else False
             )
 
-        blocked_pairs = list(filter(meets_blocking_conditions, comparison_pairs))
+        blocked_pairs = list(filter(meets_blocking_conditions, comparison_pairs)) if blocking_conditions else comparison_pairs
 
         # Apply limit_comparisons to blocked pairs
         if limit_comparisons is not None and len(blocked_pairs) > limit_comparisons:
@@ -641,6 +651,8 @@ def process_cluster(cluster):
                 for output_key, compare_key in key_mapping.items():
                     if compare_key in input_data[list(cluster)[0]]:
                         result[output_key] = input_data[list(cluster)[0]][compare_key]
+                    elif output_key in input_data[list(cluster)[0]]:
+                        result[output_key] = input_data[list(cluster)[0]][output_key]
                     else:
                         result[output_key] = None  # or some default value
 
diff --git a/website/src/components/ResizableDataTable.tsx b/website/src/components/ResizableDataTable.tsx
index abd5b13f..bbfef1b6 100644
--- a/website/src/components/ResizableDataTable.tsx
+++ b/website/src/components/ResizableDataTable.tsx
@@ -828,7 +828,7 @@ const ObservabilityIndicator = React.memo(
         >
           <div className="space-y-4">
             <h3 className="text-lg font-semibold border-b pb-2">
-              LLM Call for {currentOperation}
+              LLM Call(s) for {currentOperation}
             </h3>
             <div className="space-y-2">
               {observabilityEntries.map(([key, value]) => (