diff --git a/pandas/_libs/interval.pyx b/pandas/_libs/interval.pyx
index 3147f36dcc835..eb511b1adb28a 100644
--- a/pandas/_libs/interval.pyx
+++ b/pandas/_libs/interval.pyx
@@ -18,7 +18,6 @@ cnp.import_array()
 
 
 cimport pandas._libs.util as util
-util.import_array()
 
 from pandas._libs.hashtable cimport Int64Vector, Int64VectorData
 
diff --git a/pandas/_libs/tslibs/nattype.pyx b/pandas/_libs/tslibs/nattype.pyx
index a55d15a7c4e85..92cbcce6c7042 100644
--- a/pandas/_libs/tslibs/nattype.pyx
+++ b/pandas/_libs/tslibs/nattype.pyx
@@ -382,7 +382,7 @@ class NaTType(_NaT):
     )
     combine = _make_error_func('combine',  # noqa:E128
         """
-        Timsetamp.combine(date, time)
+        Timestamp.combine(date, time)
 
         date, time -> datetime with same date and time fields
         """
diff --git a/pandas/_libs/tslibs/timestamps.pyx b/pandas/_libs/tslibs/timestamps.pyx
index fe0564cb62c30..3e6763e226a4a 100644
--- a/pandas/_libs/tslibs/timestamps.pyx
+++ b/pandas/_libs/tslibs/timestamps.pyx
@@ -197,7 +197,7 @@ def round_nsint64(values, mode, freq):
 
 # This is PITA. Because we inherit from datetime, which has very specific
 # construction requirements, we need to do object instantiation in python
-# (see Timestamp class above). This will serve as a C extension type that
+# (see Timestamp class below). This will serve as a C extension type that
 # shadows the python class, where we do any heavy lifting.
 cdef class _Timestamp(datetime):
 
@@ -670,7 +670,7 @@ class Timestamp(_Timestamp):
     @classmethod
     def combine(cls, date, time):
         """
-        Timsetamp.combine(date, time)
+        Timestamp.combine(date, time)
 
         date, time -> datetime with same date and time fields
         """
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index df764aa4ba666..36144c31dfef9 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -2072,17 +2072,9 @@ def get_values(self, dtype=None):
         return object dtype as boxed values, such as Timestamps/Timedelta
         """
         if is_object_dtype(dtype):
-            values = self.values
-
-            if self.ndim > 1:
-                values = values.ravel()
-
-            values = lib.map_infer(values, self._box_func)
-
-            if self.ndim > 1:
-                values = values.reshape(self.values.shape)
-
-            return values
+            values = self.values.ravel()
+            result = self._holder(values).astype(object)
+            return result.reshape(self.values.shape)
         return self.values