diff --git a/examples/training/rehearsal.py b/examples/training/rehearsal.py
index 24b1cea00..1cdac02aa 100644
--- a/examples/training/rehearsal.py
+++ b/examples/training/rehearsal.py
@@ -67,7 +67,7 @@ def main(model_name, unlabelled_loc):
     pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
     other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
     sizes = compounding(1.0, 4.0, 1.001)
-    with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings():
+    with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
         # show warnings for misaligned entity spans once
         warnings.filterwarnings("once", category=UserWarning, module='spacy')
 
diff --git a/examples/training/train_ner.py b/examples/training/train_ner.py
index ff6029567..f64ba801a 100644
--- a/examples/training/train_ner.py
+++ b/examples/training/train_ner.py
@@ -59,7 +59,7 @@ def main(model=None, output_dir=None, n_iter=100):
     pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
     other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
     # only train NER
-    with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings():
+    with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
         # show warnings for misaligned entity spans once
         warnings.filterwarnings("once", category=UserWarning, module='spacy')
 
diff --git a/examples/training/train_new_entity_type.py b/examples/training/train_new_entity_type.py
index e8ff6802a..a14688012 100644
--- a/examples/training/train_new_entity_type.py
+++ b/examples/training/train_new_entity_type.py
@@ -99,7 +99,7 @@ def main(model=None, new_model_name="animal", output_dir=None, n_iter=30):
     pipe_exceptions = ["ner", "trf_wordpiecer", "trf_tok2vec"]
     other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]
     # only train NER
-    with nlp.disable_pipes(*other_pipes) and warnings.catch_warnings():
+    with nlp.disable_pipes(*other_pipes), warnings.catch_warnings():
         # show warnings for misaligned entity spans once
         warnings.filterwarnings("once", category=UserWarning, module='spacy')