Triple
T22257755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn Blue |
E550135
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | 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: Fever | Statement: [Turn Blue, hasTrack, Fever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fever Context triple: [Turn Blue, hasTrack, Fever]
-
A.
Fever
chosen
"Fever" is a 2014 blues-rock single by American rock duo The Black Keys, known for its catchy organ riff and appearance on their album "Turn Blue."
-
B.
Fever
"Fever" is a track by the experimental hip-hop group Black Milk, known for its intricate production and innovative approach to rap music.
-
C.
Fever
"Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
-
D.
Fever
"Fever" is a popular dancehall track by Jamaican artist Adidja Palmer, better known as Vybz Kartel, noted for its infectious rhythm and widespread club and radio play.
-
E.
Fever
"Fever" is a studio album by the American pop-rock band Against the Current, showcasing their energetic, melodic style and emotionally charged songwriting.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c3cf64819087e270a1f50e629e |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.