Triple
T6538770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante Terrell Smith |
E168231
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brown Sugar |
E339443
|
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: Brown Sugar | Statement: [Dante Terrell Smith, notableWork, Brown Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Sugar Context triple: [Dante Terrell Smith, notableWork, Brown Sugar]
-
A.
Brown Sugar
Brown Sugar is a 2002 romantic comedy-drama film about lifelong friends navigating love and hip-hop in New York City, starring Taye Diggs and Sanaa Lathan.
-
B.
Brown Sugar
"Brown Sugar" is a 1971 rock song by the Rolling Stones, known for its gritty guitar riff, controversial lyrics, and status as one of the band’s signature hits.
-
C.
Brown Sugar
chosen
Brown Sugar is the critically acclaimed 1995 debut studio album by American neo-soul singer D'Angelo, known for helping pioneer the neo-soul movement.
-
D.
Big Sugar
Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
-
E.
Sweetener
Sweetener is Ariana Grande's critically acclaimed fourth studio album, noted for its blend of pop and R&B with innovative production and themes of healing and empowerment.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add4b7f881909e485325c353f51c |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5389fac8190bbad946de79d6086 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:49 p.m.