Now, We can use the general multiplication rule (chain rule) of probability to express the joint probability of $A$, $B$, and $C$ occurring together:
$$P(A \cap B \cap C) = P(A) \cdot P(B \mid A) \cdot P(C \mid A \cap B)$$
$$\Rightarrow P(A \cap B \cap C) = a \cdot b \cdot d = abd$$
To find the total probability of $B \cap C$, we can use the Law of Total Probability by partitioning the sample space into $A$ and its complement $A^c$:
$$P(B \cap C) = P(A \cap B \cap C) + P(A^c \cap B \cap C)$$
We already calculated the first part ($abd$). Now let's calculate the second part using the multiplication rule again:
$$P(A^c \cap B \cap C) = P(A^c) \cdot P(B \mid A^c) \cdot P(C \mid A^c \cap B)$$
$$\Rightarrow P(A^c \cap B \cap C) = (1 - a) \cdot c \cdot e$$
$$\Rightarrow P(B \cap C) = P(A \cap B \cap C) + P(A^c \cap B \cap C) = abd + (1 - a)ce$$
Final Probability :
$$\Rightarrow P(A \mid B \cap C) = \frac{P(A \cap B \cap C)}{P(B \cap C)}$$
$$\boxed{\Rightarrow P(A \mid B \cap C) = \frac{abd}{abd + (1 - a)ce}}$$
Therefore, the correct option is A.