Triple
T15418982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulate... G Funk Era |
E369321
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Do You See |
E419236
|
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: Do You See | Statement: [Regulate... G Funk Era, hasSingle, Do You See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do You See Context triple: [Regulate... G Funk Era, hasSingle, Do You See]
-
A.
Do You See
chosen
"Do You See" is a 1994 hip hop single by West Coast rapper and producer Warren G, known for its smooth G-funk production and reflective lyrics.
-
B.
I See You
"I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
-
C.
I See You
"I See You" is the third studio album by English indie pop band The xx, known for its atmospheric production and introspective songwriting.
-
D.
I See You
"I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
-
E.
Can You See Me
"Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.