Triple
T16020461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UB40 |
E388583
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Red Red Wine |
E1189091
|
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: Red Red Wine | Statement: [UB40, notableSingle, Red Red Wine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Red Wine Context triple: [UB40, notableSingle, Red Red Wine]
-
A.
Red Red Wine
chosen
"Red Red Wine" is a popular reggae-pop cover by the British band UB40, originally written and recorded by Neil Diamond, that became one of their signature hits in the 1980s.
-
B.
Dirty Wine
"Dirty Wine" is a track by Nigerian artist Wizkid featured on his 2017 afrobeats album *Sounds from the Other Side*.
-
C.
I Drink Wine
"I Drink Wine" is a soulful, introspective ballad by British singer-songwriter Adele that reflects on aging, self-acceptance, and the emotional aftermath of a relationship.
-
D.
Red (song)
"Red" is a song by American singer-songwriter Taylor Swift from her 2012 album of the same name, noted for its vivid metaphors about heartbreak and emotional turbulence.
-
E.
Red Hot Red
Red Hot Red is an alternative name for the color Rhubarb Red, a vivid, reddish hue reminiscent of ripe rhubarb stalks.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183231f2c81908f4e4037c3aa180b |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcdf2548190999a6d093c7fb64a |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.