narratives of empire
of the narratives of empire , the title empire came one title before hollywood .
{'row_1': '4', 'row_2': '5', 'col': '1', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'yes', 'diff_result': None}
{'func': 'and', 'args': [{'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'title', 'empire'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose title record fuzzily matches to empire .', 'tostr': 'filter_eq { all_rows ; title ; empire }'}, 'order'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; title ; empire } ; order }', 'tointer': 'select the rows whose title record fuzzily matches to empire . take the order record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'title', 'hollywood'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose title record fuzzily matches to hollywood .', 'tostr': 'filter_eq { all_rows ; title ; hollywood }'}, 'order'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; title ; hollywood } ; order }', 'tointer': 'select the rows whose title record fuzzily matches to hollywood . take the order record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; title ; empire } ; order } ; hop { filter_eq { all_rows ; title ; hollywood } ; order } }', 'tointer': 'select the rows whose title record fuzzily matches to empire . take the order record of this row . select the rows whose title record fuzzily matches to hollywood . take the order record of this row . the first record is less than the second record .'}, {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'title', 'empire'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose title record fuzzily matches to empire .', 'tostr': 'filter_eq { all_rows ; title ; empire }'}, 'order'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; title ; empire } ; order }', 'tointer': 'select the rows whose title record fuzzily matches to empire . take the order record of this row .'}, '4'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; title ; empire } ; order } ; 4 }', 'tointer': 'the order record of the first row is 4 .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'title', 'hollywood'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose title record fuzzily matches to hollywood .', 'tostr': 'filter_eq { all_rows ; title ; hollywood }'}, 'order'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; title ; hollywood } ; order }', 'tointer': 'select the rows whose title record fuzzily matches to hollywood . take the order record of this row .'}, '5'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; title ; hollywood } ; order } ; 5 }', 'tointer': 'the order record of the second row is 5 .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; title ; empire } ; order } ; 4 } ; eq { hop { filter_eq { all_rows ; title ; hollywood } ; order } ; 5 } }', 'tointer': 'the order record of the first row is 4 . the order record of the second row is 5 .'}], 'result': True, 'ind': 8, 'tostr': 'and { less { hop { filter_eq { all_rows ; title ; empire } ; order } ; hop { filter_eq { all_rows ; title ; hollywood } ; order } } ; and { eq { hop { filter_eq { all_rows ; title ; empire } ; order } ; 4 } ; eq { hop { filter_eq { all_rows ; title ; hollywood } ; order } ; 5 } } } = true', 'tointer': 'select the rows whose title record fuzzily matches to empire . take the order record of this row . select the rows whose title record fuzzily matches to hollywood . take the order record of this row . the first record is less than the second record . the order record of the first row is 4 . the order record of the second row is 5 .'}
and { less { hop { filter_eq { all_rows ; title ; empire } ; order } ; hop { filter_eq { all_rows ; title ; hollywood } ; order } } ; and { eq { hop { filter_eq { all_rows ; title ; empire } ; order } ; 4 } ; eq { hop { filter_eq { all_rows ; title ; hollywood } ; order } ; 5 } } } = true
select the rows whose title record fuzzily matches to empire . take the order record of this row . select the rows whose title record fuzzily matches to hollywood . take the order record of this row . the first record is less than the second record . the order record of the first row is 4 . the order record of the second row is 5 .
{'and_8': 'and', 'result_9': 'true', 'less_4': 'less', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'title_11': 'title', 'empire_12': 'empire', 'order_13': 'order', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'title_15': 'title', 'hollywood_16': 'hollywood', 'order_17': 'order', 'and_7': 'and', 'eq_5': 'eq', '4_18': '4', 'eq_6': 'eq', '5_19': '5'}
['order', 'title', 'story timeline', 'published', 'in order of publication']
[['1', 'burr', '1775 - 1808 , 1833 - 1836 , 1840', '1973', 'second'], ['2', 'lincoln', '1861 - 1865', '1984', 'fourth'], ['3', '1876', '1875 - 1877', '1976', 'third'], ['4', 'empire', '1898 - 1907', '1987', 'fifth'], ['5', 'hollywood', '1917 - 1923', '1990', 'sixth'], ['6', 'washington , dc', '1937 - 1952', '1967', 'first'], ['7', 'the golden age', '1939 - 1954 , 2000', '2000', 'seventh']]