Triple
T12321187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beenieman |
E293731
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Girls Dem Sugar
"Girls Dem Sugar" is a popular dancehall track by Beenie Man featuring Mýa that became one of his signature international hits.
|
E974404
|
NE FINISHED |
How this triple was built (4 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: Girls Dem Sugar | Statement: [Beenieman, notableWork, Girls Dem Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girls Dem Sugar Context triple: [Beenieman, notableWork, Girls Dem Sugar]
-
A.
Watermelon Sugar
"Watermelon Sugar" is a hit pop song by English singer Harry Styles, known for its summery sound and widespread commercial success.
-
B.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
C.
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.
-
D.
Sweet Southern Sugar
Sweet Southern Sugar is a studio album by American musician Kid Rock that blends country, rock, and hip-hop influences.
-
E.
Sugar
Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Girls Dem Sugar Triple: [Beenieman, notableWork, Girls Dem Sugar]
Generated description
"Girls Dem Sugar" is a popular dancehall track by Beenie Man featuring Mýa that became one of his signature international hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girls Dem Sugar Target entity description: "Girls Dem Sugar" is a popular dancehall track by Beenie Man featuring Mýa that became one of his signature international hits.
-
A.
Watermelon Sugar
"Watermelon Sugar" is a hit pop song by English singer Harry Styles, known for its summery sound and widespread commercial success.
-
B.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
C.
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.
-
D.
Sweet Southern Sugar
Sweet Southern Sugar is a studio album by American musician Kid Rock that blends country, rock, and hip-hop influences.
-
E.
Sugar
Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
- F. None of above. chosen
Provenance (5 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8aa94881908e4c184062037ab5 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5e20cc8190a84f50ddded76974 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.