Triple
T15950906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sons of Soul |
E386814
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Slow Wine |
E386807
|
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: Slow Wine | Statement: [Sons of Soul, hasPart, Slow Wine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Wine Context triple: [Sons of Soul, hasPart, Slow Wine]
-
A.
Slow Wine
chosen
"Slow Wine" is an R&B song by the American group Tony! Toni! Toné! known for its smooth, romantic groove and soulful vocal harmonies.
-
B.
Wine Slow
"Wine Slow" is a popular reggae fusion song by Jamaican artist Gyptian, known for its smooth, sensual rhythm and romantic lyrics.
-
C.
Slow Whine
Slow Whine is a track featured on the album "Superstar," known for its smooth, laid-back vibe and melodic style.
-
D.
Dirty Wine
"Dirty Wine" is a track by Nigerian artist Wizkid featured on his 2017 afrobeats album *Sounds from the Other Side*.
-
E.
Wine of Youth
Wine of Youth is a 1924 silent drama film best known for featuring actress Eleanor Boardman in a prominent role.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d59f5081909f6a81d578c4e2e8 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe78a76481909622d7a2443cba4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.