spaCy enables named entity recognition using the .ent_type_ attribute:

for t in sentences[0]:
    if t.ent_type_:
        print('{} | {} | {}'.format(t.text, t.ent_type_, spacy.explain(t.ent_type_)))
annual | DATE | Absolute or relative dates or periods
the | DATE | Absolute or relative dates or periods
year | DATE | Absolute or relative dates or periods

textacy facilitates access to the named entities that appear in the first article:

from textacy.extract import named_entities
entities = [e.text for e in named_entities(doc)]
pd.Series(entities).value_counts()
year                          4
US                            2
South-East Asia Earthquake    2
annual                        2
Tsunami Blog                  2