Triple
T13210803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xscape |
E314484
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Feels So Good |
E716488
|
NE FINISHED |
How this triple was built (2 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: Feels So Good | Statement: [Xscape, notableWork, Feels So Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feels So Good Context triple: [Xscape, notableWork, Feels So Good]
-
A.
Feels So Good
chosen
Feels So Good is a pop album by British girl group Atomic Kitten that features catchy, radio-friendly tracks and helped solidify their commercial success in the early 2000s.
-
B.
Feel So Good
"Feel So Good" is a hit 1997 hip-hop single by Mase that became one of his signature songs and a defining track of the late-1990s Bad Boy Records era.
-
C.
Never Felt So Good
"Never Felt So Good" is an R&B song by American singer James Ingram, known for its smooth vocals and romantic, soulful style.
-
D.
Still Feels So Good
"Still Feels So Good" is a song featured on the album "Kamikaze."
-
E.
It Feels So Good
"It Feels So Good" is a high-energy electronic dance track best known as a hit single by British DJ and producer Sonique.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.