gistfile1.txt

from spacy.pipeline import EntityRuler
import spacy
nlp = spacy.blank("nl")
ruler = nlp.add_pipe("entity_ruler")
ruler.from_disk('fb.jsonl')
doc = nlp("I like Ralph Lauren and fruit of THE LOOM")
print([(ent.text, ent.label_) for ent in doc.ents])

gistfile2.txt

{"label":"FASHION_BRAND","pattern":[{"lower":"fruit"},{"lower":"of"},{"lower":"the"},{"lower":"loom"}]}
{"label":"FASHION_BRAND","pattern":[{"lower":"ralph"},{"lower":"lauren"}]}
{"label":"FASHION_BRAND","pattern":[{"lower":"uniqlo"}]}