为什么我没有足够的值来解压预期为 3，得到 1复杂的列表理解

如何解决为什么我没有足够的值来解压预期为 3，得到 1复杂的列表理解

我正在努力理解列表，但我不知道如何处理。我想我明白这个问题，但我想保留我的一个班轮。
extract_entities(content) 返回 3 个元素的元组列表

[result_file_ner.write(convert_format(f'{name}\t{tag}\t{ner}\n',pos_table)) 
 for name,tag,ner in zip(*[iter(extract_entities(content))])]

如何更改此列表理解以保持单行？ 事实上，我必须这样做才能工作，但我不确定这是否是一个好方法

list(map(lambda x: print(x),zip(*[iter(extract_entities(content))]))) 

给予

([('Consuela','NNP','B-PERSON'),('Washington','B-ORGANIZATION'),(',','O'),('a','DT',('longtime','JJ',('House',('staffer','NN',('and','CC',('an',('expert',('in','IN',('securities','NNS',('laws',('is','VBZ',('leading','VBG',('candidate',('to','TO',('be','VB',('chairwoman',('of',('the',('Securities','NNPS',('Exchange',('Commission','I-ORGANIZATION'),('Clinton',('administration',('.','.','O')],)
([('Ms.','B-GPE'),('44','CD',('years',('old',('would','MD',('first',('woman',('black',('head',('five-member',('commission',('that','WDT',('oversees',('markets',("'s",'POS',('candidacy',('being',('championed','VBN',('by',('several',('powerful',('lawmakers',('including',('her','PRP$',('boss',('Chairman',('John',('Dingell','I-PERSON'),('(','(',('D.',('Mich.',(')',')',('Energy',('Commerce',('Committee',)
([('She','PRP',('currently','RB',('counsel',('committee',('Mr.',('have','VBP',('been',('considered',('allies',('exchanges',('while',('banks',('futures',('often',('fought',('with',('them',)
([('A',('graduate',('Harvard',('Law',('School',('Ms.',('worked','VBD',('as',('laywer',('for',('corporate',('finance',('division',('SEC',('late',('1970s',('has',('congressional',('since',('1979',)
([('Separately',('transition',('officials',('said',('Frank',('Newman',('50',('vice',('chairman',('chief',('financial',('officer',('BankAmerica',('Corp.',('expected',('nominated',('assistant',('Treasury',('secretary',('domestic',)
([('Mr.',('who','WP',('giving',('up','RP',('job',('pays',('$','$',('1',('million',('year',('oversee',('auctions',('government',('well',('banking',('issues',)
([('He',('report',('directly',('Secretary-designate',('Lloyd',('Bentsen',('headed',('Senate',('Finance',('past',('six',('also',('nominate',('Samuel',('Sessions',('tax',('one',('top',('jobs',('at',)
([('As',('early',('today',('camp',('name',('five',('undersecretaries',('state',('secretaries',)
([('Peter',('Tarnoff',('former',('Carter',('official',('president',('Council',('on',('Foreign',('Relations',('named',('undersecretary',('political',('affairs',)
([('Former',('Sen.',('Tim',('Wirth',('get',('newly',('created',('post',('global',('which',('include',('refugees',('drugs',('environmental',)
([('Earlier','RBR',('Colorado',('Democrat',('had',('contender',('Environmental',('Protection',('Agency',)
([('In',('addition',('Joan',('Spero',('executive',('American',('Express',('Co.',('economic',)
([('And',('Time',('magazine',('columnist',('Strobe',('Talbott',('ambassador-at-large',('coordinate',('U.S.',('policy',('toward',('Soviet',('Union','I-GPE'),)
([('Several',('appointees',('President',('Bush',('are',('likely',('stay',('office',('least','JJS',('temporarily',('until',('permanent',('successors',('can',)
([('One',('Bernadine',('Healy',('director',('National',('Institutes',('Health',)
([('Another',('holdover',('David',('Kessler',('Food',('Drug',('Administration',('offfice',('Trade',('Representative-designate',('Mickey',('Kantor',('selections',('three',('deputy',('Trade',('representative',('slots',('general',('still',('decided',)
([('But',('Robert',('Kyle',('or',('elsewhere',)
([('For',('many',('subcabinet',('list',('candidates',('narrowed',('considerably',)
([('Clinton',('deciding',('between',('recently',('retired',('Rep.',('Matthew',('McHugh',('N.Y.',('activist',('Gus',('Speth',('International',('Development',)
([('Among',('others',('hired',('Kitty',('Higgins',('aide',('Michigan',('Sander',('Levin',('staff',('Labor',('Department',('Jerry',('Palast',('Service',('Employees',('department',('legislative',('incoming',('serIoUsly',('considering',('moving',('briefing',('room',('press',('decades',('situated',('West','B-LOCATION'),('Wing','I-LOCATION'),('White','B-FACILITY'),'I-FACILITY'),('out',('into',('Old',('Executive',('Office',('Building',('next',('door',)
([('The',('current',('Could',('used',('offices',)

[[result_file_ner.write(convert_format(f'{name}\t{tag}\t{ner}\n',pos_table)) 
  for name,ner in line]
 for line in extract_entities(content)]

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