Triple
T23261864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast Money |
E582035
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Get Your Shine On |
—
|
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: Get Your Shine On | Statement: [Fast Money, notableSingle, Get Your Shine On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Your Shine On Context triple: [Fast Money, notableSingle, Get Your Shine On]
-
A.
Get Your Shine On
chosen
"Get Your Shine On" is a popular country song by the duo Florida Georgia Line, known for its upbeat, party-themed lyrics and catchy, radio-friendly sound.
-
B.
Put the Shine On
Put the Shine On is a 2020 experimental art-pop album by the American musical duo CocoRosie, known for its eclectic production and emotionally charged, genre-blending songs.
-
C.
Sweet Shine
"Sweet Shine" is a song by American alternative rock band Sonic Youth from their 1994 album *Experimental Jet Set, Trash and No Star*.
-
D.
All the Shine
"All the Shine" is a song by American rapper Camp, known for its introspective lyrics and atmospheric production.
-
E.
Shine It On
"Shine It On" is a song by the Allman Brothers Band featured on their 1990 album "Seven Turns."
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.