Table:
Year

Film

Rotten Tomatoes

Metacritic

IMDb

1982
Images of Liberation
N/A
N/A
5.1/10

1984
The Element of Crime
77%[69]
N/A
6.9/10

1987
Epidemic
33%[70]
66%[71]
6.1/10

1991
Europa
85%[72]
66%[73]
7.7/10

1996
Breaking the Waves
86%[74]
76%[75]
7.9/10

1998
The Idiots
70%[76]
47%[77]
6.9/10

2000
Dancer in the Dark
68%[78]
61%[79]
8.0/10

2003
The Five Obstructions
88%[80]
79%[81]
7.5/10

2003
Dogville
70%[82]
59%[83]
8.0/10

2005
Manderlay
51%[84]
46%[85]
7.4/10

2006
The Boss of It All
74%[86]
71%[87]
6.7/10

2009
Antichrist
48%[88]
49%[89]
6.6/10

2011
Melancholia
77%[90]
80%[91]
7.1/10

2013
Nymphomaniac: Volume I
77%[92]
63%[93]
7.5/10

2013
Nymphomaniac: Volume II
79%[94]
76%[95]
7.2/10

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 1st row and the 5th column,
the 3rd row and the 3rd column,
the 12th row and the 1st column,
the 10th row and the 1st column,
the 9th row and the 4th column,
the 12th row and the 2nd column,

Return each cell value as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"1", "column_id":"5", "cell_value":"IMDb"}
{"row_id":"3", "column_id":"3", "cell_value":"77%"}
{"row_id":"12", "column_id":"1", "cell_value":"2006"}
{"row_id":"10", "column_id":"1", "cell_value":"2003"}
{"row_id":"9", "column_id":"4", "cell_value":"79%"}
{"row_id":"12", "column_id":"2", "cell_value":"The Boss of It All"}