我有很多句子（500k）看起来像这样：

"Penalty missed! Bad penalty by Felipe Brisola  - Riga FC -  shot with right foot is very close to the goal. Felipe Brisola should be disappointed."
"Penalty saved! Damir Kojasevic  - Sutjeska Niksic -  fails to capitalise on this great opportunity,  shot with right foot saved  in the centre of the goal."   
"Penalty saved! Stefan Panic  - Riga FC -  fails to capitalise on this great opportunity,  shot with right foot saved  in the centre of the goal."
"Penalty saved! Georgie Kelly  - Dundalk -  fails to capitalise on this great opportunity,  shot with right foot saved  in the centre of the goal."
"Penalty missed! Still  FC København 1, Crvena Zvezda 1. Marko Marin  - Crvena Zvezda -  hits the bar with a shot with right foot."

如您所见，它们并不是真正的机器人，在最终编写了 1500 行 php 代码（使用正则表达式）并且仍然不一致之后，我决定看看我的机器学习替代方案。

我想要实现的是：

For example this one:

"Penalty saved! Stefan Panic  - Riga FC -  fails to capitalise on this great opportunity,  shot with right foot saved  in the centre of the goal."

type => penalty
action => saved
reason => shot with right foot saved  in the centre of the goal
person => Stefan Panic

我偶然发现了 spaCy 并看到了“命名实体识别”，并认为也许我可以将它用于此目的。特别是因为我有大量的训练数据。

我想问：spaCy 的命名实体识别是否适合这项任务？如果没有，我应该为这项任务学习什么？

PS：我对python有点了解，但对ML一无所知