aryn-ai · HenryL27 · Feb 4, 2025 · Feb 4, 2025
diff --git a/lib/sycamore/sycamore/tests/unit/transforms/test_extract_entity.py b/lib/sycamore/sycamore/tests/unit/transforms/test_extract_entity.py
@@ -23,6 +23,12 @@ def generate(self, *, prompt: RenderedPrompt, llm_kwargs: Optional[dict] = None)
         else:
             usermessage = prompt.messages[1].content
 
+        if usermessage.startswith("Hi"):
+            return usermessage
+
+        if usermessage.startswith("ho!"):
+            return "ho there! " + prompt.messages[2].content
+
         if "s3://path" in usermessage:
             return "alt_title"
 
@@ -55,11 +61,13 @@ class TestEntityExtraction:
                 {
                     "type": "title",
                     "content": {"binary": None, "text": "text1"},
+                    "text_representation": "text1",
                     "properties": {"coordinates": [(1, 2)], "page_number": 1, "entity": {"author": "Jack Black"}},
                 },
                 {
                     "type": "table",
                     "content": {"binary": None, "text": "text2"},
+                    "text_representation": "text2",
                     "properties": {"page_name": "name", "coordinates": [(1, 2)], "coordinate_system": "pixel"},
                 },
             ],
@@ -113,6 +121,25 @@ def test_extract_entity_document_field_string(self, mocker):
         out_docs = llm_map.run([self.doc])
         assert out_docs[0].properties.get("title") == "alt_title"
 
+    def test_extract_entity_with_elements_and_string_prompt(self, mocker):
+        llm = MockLLM()
+        extractor = OpenAIEntityExtractor("title", llm=llm, use_elements=True, prompt="Hi ")
+        llm_map = extractor.as_llm_map(None)
+        outdocs = llm_map.run([self.doc])
+        assert outdocs[0].properties.get("title").startswith("Hi")
+        assert "text1" in outdocs[0].properties.get("title")
+        assert "text2" in outdocs[0].properties.get("title")
+
+    def test_extract_entity_with_elements_and_messages_prompt(self, mocker):
+        llm = MockLLM()
+        prompt_messages = [{"role": "system", "content": "Yo"}, {"role": "user", "content": "ho!"}]
+        extractor = OpenAIEntityExtractor("title", llm=llm, use_elements=True, prompt=prompt_messages)
+        llm_map = extractor.as_llm_map(None)
+        outdocs = llm_map.run([self.doc])
+        assert outdocs[0].properties.get("title").startswith("ho there!")
+        assert "text1" in outdocs[0].properties.get("title")
+        assert "text2" in outdocs[0].properties.get("title")
+
     def test_extract_entity_with_similarity_sorting(self, mocker):
         doc_list = [
             Document(

diff --git a/lib/sycamore/sycamore/transforms/extract_entity.py b/lib/sycamore/sycamore/transforms/extract_entity.py
@@ -137,7 +137,18 @@ def as_llm_map(
             llm = self._llm
         assert llm is not None, "Could not find an LLM to use"
         prompt: SycamorePrompt  # grr mypy
-        if self._prompt_template is not None:
+        if self._prompt is not None:
+            if isinstance(self._prompt, str):
+                prompt = ElementListPrompt(user=self._prompt + "\n{elements}")
+            else:
+                system = None
+                if len(self._prompt) > 0 and self._prompt[0]["role"] == "system":
+                    system = self._prompt[0]["content"]
+                    user = [p["content"] for p in self._prompt[1:]] + ["{elements}"]
+                else:
+                    user = [p["content"] for p in self._prompt] + ["{elements}"]
+                prompt = ElementListPrompt(system=system, user=user)
+        elif self._prompt_template is not None:
             prompt = EntityExtractorFewShotGuidancePrompt
             prompt = cast(ElementListPrompt, prompt.set(examples=self._prompt_template))
         else: