How do you chain a preprocessor for an LF to occur AFTER SpacyPreprocessor?

pre.py

spacy = SpacyPreprocessor(
    text_field='body',
    doc_field='spacy',
    memoize=True,
    language='en_core_web_lg',
    disable=['vectors']
)

@preprocessor(memoize=True, pre=[spacy])
def restore_entity(x):
    
    entity = None
    for ent in x['spacy'].ents:
        if  ent.start == row['entity_start'] \
        and ent.end   == row['entity_end']:
            entity = ent

    if entity is None:
        raise Exception('Missing entity!')

    x['entity'] = entity
    return x

@labeling_function(pre=[spacy, restore_entity])
def lf_verb_in_noun(x):
    """Return positive if the pattern"""
    sp = x['spacy']
    matches = matcher(sp)
    
    found = False
    for match_id, start, end in matches:
        if end == x['entity_end']:
            pass
        if start == x['start'] - 2:            
            if sp[start].text in ['work', 'written', 'wrote']:                
                if sp[start + 1].text in ['in']:
                    return POSITIVE
    else:
        return ABSTAIN

z_error.txt

<ipython-input-55-bf0c5fb416fc> in restore_entity(x)
     17 
     18     entity = None
---> 19     for ent in x['spacy'].ents:
     20         if  ent.start == row['entity_start'] \
     21         and ent.end   == row['entity_end']:

KeyError: ('spacy', 'occurred at index 0')