Triple
T15970572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciara (album) |
E387308
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
Got Me Good
"Got Me Good" is an uptempo R&B/pop single by Ciara known for its dance-heavy performance and confident, playful lyrics.
|
E1186299
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Got Me Good | Statement: [Ciara (album), hasSingle, Got Me Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got Me Good Context triple: [Ciara (album), hasSingle, Got Me Good]
-
A.
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
-
B.
Good To Me
"Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
-
C.
Got Me Going
"Got Me Going" is a 2008 R&B single by the American boy band Day26, released as one of their best-known tracks following their formation on the reality show Making the Band 4.
-
D.
The Good in Me
"The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
-
E.
Got Some
"Got Some" is a high-energy rock song by Pearl Jam, featured on their 2009 album *Backspacer* and known for its driving riffs and politically tinged lyrics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Got Me Good Triple: [Ciara (album), hasSingle, Got Me Good]
Generated description
"Got Me Good" is an uptempo R&B/pop single by Ciara known for its dance-heavy performance and confident, playful lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Got Me Good Target entity description: "Got Me Good" is an uptempo R&B/pop single by Ciara known for its dance-heavy performance and confident, playful lyrics.
-
A.
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
-
B.
Good To Me
"Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
-
C.
Got Me Going
"Got Me Going" is a 2008 R&B single by the American boy band Day26, released as one of their best-known tracks following their formation on the reality show Making the Band 4.
-
D.
The Good in Me
"The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
-
E.
Got Some
"Got Some" is a high-energy rock song by Pearl Jam, featured on their 2009 album *Backspacer* and known for its driving riffs and politically tinged lyrics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157291214819088d65e984609e42c |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.