Let $\Omega = [0,1]$, $\mathcal{F} = \mathcal{B}(0,1)$, P=Lebesgue measure.
Let $X(w)= \begin{cases} 1 \quad w \in [0,1/2] \\ 0 \quad w \not\in [0,1/2] \end{cases}$
Let $Y(w)= \begin{cases} 1 \quad w \in [0,3/4] \\ 0 \quad w \not\in [0,3/4] \end{cases}$
Let $Z(w)= \begin{cases} 1 \quad w \in [1/4,3/4] \\ 0 \quad w \not\in [1/4,3/4] \end{cases}$
I succeeded in proving that X is independent from Z and E(X|Y=1)=2/3 conditioning on the sub-sigma algebras generated by Z and Y, respectively.
Now my aim is discovering the value of E{X|(Y,Z)} but I don't know how to condition X on an union of sigma algebras.
Observe that $\{Y=0,Z=1\}=\varnothing$ so conditioning on that event can be left out.
This shows that: $$\mathbb E[X\mid (Y,Z)]=Y-\frac12Z$$