Different Survival Results Expected for Different Rows

[FunKite]

I'm just getting started with Lifelines and survival analysis so this may be a basic question.

I'm trying to run the survival function for individual rows in my data to see how long each row will "survive".

Suppose I have this dataset of durations (T) and events(E).

T	E
78	1
81	0
86	1
85	1
64	1
76	1
53	0

Then I run these commands (after the customary initialization).
X = regression_dataset.loc[1]
ax = wft.predict_survival_function(X)
ax

...and get output like this:

       1

53.0 0.997631
64.0 0.968971
76.0 0.716824
78.0 0.621617
81.0 0.450302
85.0 0.213209
86.0 0.162931

However, loc[1] has a T value of 81. Thus, wouldn't loc[1] have a 100 percent chance of "surviving" to 53, 64, 76 (since it already did)?

I tried a few different rows for my X values and seem to get the same output for every row. However, I'm expecting to get different outputs for my rows that are "survivors" (that is, loc[1] and loc[6]) since they have much different T values.