Potential Logic Bottleneck in LLM Reasoning: The Reversal Curse Case

I have documented a consistent logical failure in LLMs when dealing with symmetrical relationships. The model correctly identifies a relationship in one direction (A -> B) but fails to deduce the reverse (B -> A), indicating a fundamental 'Reversal Curse' bottleneck in its reasoning capabilities.
​Steps to Reproduce:
​Query A: "Who is Mary Lee Woods' son?"
Output A: "Mary Lee Woods' son is the computer scientist Tim Berners-Lee." (Correct)
​Query B: "Who is Tim Berners-Lee's mother?"
Output B: "I do not have information on his mother." (Incorrect/Confused - The model fails to reverse the logic despite having the data in the opposite direction).
​Expected Behavior:
The model should be able to utilize logical symmetry to deduce Relationship B -> A from Relationship A -> B, maintaining a consistent and bidirectional knowledge base.
​Proposed Contribution:
I am an independent researcher looking to share detailed documentation of these cases to help improve the model's structural reasoning and overcome these specific logic bottlenecks