Triple
T14103568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Sugar |
E339443
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Smooth |
E143568
|
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: Smooth | Statement: [Brown Sugar, hasPart, Smooth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smooth Context triple: [Brown Sugar, hasPart, Smooth]
-
A.
Smooth
chosen
"Smooth" is a Grammy-winning Latin rock and pop song by Santana featuring Rob Thomas, renowned for its infectious groove and massive late-1990s chart success.
-
B.
E Smooth
E Smooth is the professional alias of Erik "E Smooth" Hicks, known for his work in the music and entertainment industry.
-
C.
Smooth Character
Smooth Character is the nickname of Old Joe, suggesting a persona known for charm, ease, and a laid-back, confident demeanor.
-
D.
Smooth Operator
"Smooth Operator" is a smooth jazz-influenced pop song by Sade, known for its sultry vocals and sophisticated, late-night atmosphere that helped define the band's signature sound in the 1980s.
-
E.
Smooth Talk
Smooth Talk is a 1985 coming-of-age drama film, loosely based on a Joyce Carol Oates short story, about a teenage girl’s unsettling encounter with an older man.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b2ade08190a56e9ecf659f83b9 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.