Triple
T17461020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaash Paige |
E425149
|
entity |
| Predicate | hasAlbum |
P1995
|
FINISHED |
| Object | Teenage Fever |
—
|
NE NERFINISHED |
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: Teenage Fever | Statement: [Kaash Paige, hasAlbum, Teenage Fever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teenage Fever Context triple: [Kaash Paige, hasAlbum, Teenage Fever]
-
A.
Teenage Fever
chosen
Teenage Fever is a 2020 debut studio album by R&B singer Kaash Paige that blends moody melodies with introspective, coming-of-age themes.
-
B.
Teenage Fever
"Teenage Fever" is a moody, R&B-infused Drake song reflecting on youthful heartbreak and nostalgia.
-
C.
A Teenager in Love
"A Teenager in Love" is a classic 1959 doo-wop pop song by Dion and the Belmonts that became one of the era’s defining teen romance anthems.
-
D.
Teenage Rebel
"Teenage Rebel" is a 1956 American drama film featuring Ginger Rogers in a story about family conflict and generational tensions.
-
E.
Teenage Love Affair
"Teenage Love Affair" is an R&B song by Alicia Keys that nostalgically explores young romance with a soulful, retro-inspired sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.