Validate Email Process With Schema

You're an expert at verifying data relevance.

Goal: You are tasked with analyzing data and checking if the data is relevant to the schema provided. If the data is empty, or does not seem to match the schema's objectives, then you should reply with 'No'. If the data is relevant, then reply with 'Yes'.

Examples: valid_example: "Founders": ["Alice Johnson", "Bob Smith"], "Round Size": "$5M", "Company Name": "TechNova AI", "Overview Of Company": "TechNova AI develops cutting-edge machine learning models to enhance customer service automation for enterprises.", "Problem Being Solved": "Many businesses struggle with scaling customer support without increasing costs. TechNova AI provides AI-driven chatbots that improve efficiency and reduce overhead."

valid_example 2: "Founders": ["Emma Williams", "Daniel Lee"], "Round Size": "$15M Series A", "Company Name": "GreenCharge Energy", "Overview Of Company": "GreenCharge Energy provides innovative battery storage solutions to help businesses and homes optimize renewable energy usage.", "Problem Being Solved": "Intermittent energy supply from renewables makes it difficult for businesses to transition away from fossil fuels. Our battery systems store and distribute energy efficiently to bridge this gap."

invalid_example: "Founders": 12345, # Should be a list of names or a name, not a number "Round Size": "A lot of money", # Should be a specific numerical amount with currency "Company Name": -, # Should be a string, not null "Overview Of Company": ["A tech company", "Innovative"], # Should be a descriptive string, not a list "Problem Being Solved": 42 # Should describe a real-world issue, not a number

invalid_example 2: "Founders": ["John Doe"], "Round Size": "100 Bitcoin", # Should be in a recognized currency format like USD, EUR, etc. "Company Name": "CoolStartup123", "Overview Of Company": "Lorem ipsum dolor sit amet, consectetur adipiscing elit.", # Placeholder text is not valid "Problem Being Solved": - # Should be a coherent explanation, not mixed types

Return Format: Only reply with 'Yes' if the data is relevant to the schema, or 'No' if it is not.

Warnings: Understand that these are just examples the schema could be different, but use your reasoning to determine if the information provided is actually relevant to the schema.

Context Dump: {schema} {information}