“Keep Gaga off!”
My biggest enemy is Lady Gaga!'
More than 40 million people follow Lady Gaga on Twitter.
They've known a new Gaga album was in the works since at least 2017.
Gaga was elusive.
Lady Gaga went on just after nine.
When it comes to Lady Gaga, absolutely.
Lady Gaga began reading the article aloud, standing next to Bennett.
Many artists have covered Gaga herself - 10, including Klaxons, Mika and You Me at Six.
Gaga fans are keen to buy her former possessions or merchandise associated with the star.
Lady Gaga, who presumed the tweet was about her, replied: “Uh oh guys the art police is here”.
In the book, Greenburg talks with Troy Carter, a tech investor and onetime manager of Lady Gaga.
Most of “Gaga: Five Foot Two” only affirms what we already knew—that Gaga is intelligent and ambitious.
However, Lady Gaga said she has since learned to “love myself again,” telling Cowan: "I don't hate Lady Gaga anymore.
Lady Gaga made the red carpet her own at the 2018 Grammys, wearing a custom black lace Armani Privé creation for the star-studded bash.
You’d be an idiot to be in the room with someone as talented as Lady Gaga and not keep asking them, ‘What do you think we should do here?’
Prior to the awards ceremony, which featured a tribute performance for Bowie by Gaga, she had a tattoo of the late singer inked on her left rib.
The meat dress perfectly captured the spirit of Gaga, and it was placed in the Rock and Roll Hall of Fame in 2011 (Gaga herself will not be eligible for induction until 2033).
In “Gaga: Five Foot Two,” a new documentary about Lady Gaga, which was released on Netflix last Friday, Gaga repeats the idea that her most recent record, “Joanne,” from 2016, was about vulnerability.
In one case, Lady Gaga tweeted her fans to lobby their senators on gay rights, two fans videoed themselves phoning their senator; the video went viral; Lady Gaga made her own video; and other fans started doing the same.
On this page, there are 20 sentence examples for Gaga. They are all from high-quality sources and constantly processed by lengusa's machine learning routines.
Just use the " " button to fragment sentence examples and start your learning flow.
Example output from one of your searches: