It’s Gonna Be Good
E801432
"It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
All labels observed (1)
| Label | Occurrences |
|---|---|
| It’s Gonna Be Good canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9473705 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It’s Gonna Be Good Context triple: [Dan Goodman, songPerformedIn, It’s Gonna Be Good]
-
A.
What’s It Gonna Be
"What’s It Gonna Be" is a song featured on John Legend’s 2006 album *Evolver*.
-
B.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
C.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
-
D.
Something Good
"Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
-
E.
We’re Gonna Be All Right
"We’re Gonna Be All Right" is a witty, sophisticated song by Richard Rodgers (with lyrics by Stephen Sondheim) from the 1965 Broadway musical *Do I Hear a Waltz?*, known for its sharp, ironic take on marriage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: It’s Gonna Be Good Target entity description: "It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
-
A.
What’s It Gonna Be
"What’s It Gonna Be" is a song featured on John Legend’s 2006 album *Evolver*.
-
B.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
C.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
-
D.
Something Good
"Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
-
E.
We’re Gonna Be All Right
"We’re Gonna Be All Right" is a witty, sophisticated song by Richard Rodgers (with lyrics by Stephen Sondheim) from the 1965 Broadway musical *Do I Hear a Waltz?*, known for its sharp, ironic take on marriage.
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf |
musical artist
ⓘ
musical work ⓘ |
| artist | Dan Goodman ⓘ |
| hasGenre | music ⓘ |
| hasTitle | It’s Gonna Be Good ⓘ |
| language | English ⓘ |
| occupation |
musician
ⓘ
singer ⓘ |
| performer | Dan Goodman ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: It’s Gonna Be Good Description of subject: "It’s Gonna Be Good" is a musical track performed by artist Dan Goodman.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.