Triple
T12991306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patoranking |
E321911
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Suh Different
"Suh Different" is a popular Afro-dancehall song by Nigerian artist Patoranking, known for its catchy rhythm and dance-inducing vibe.
|
E1014008
|
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: Suh Different | Statement: [Patoranking, notableWork, Suh Different]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suh Different Context triple: [Patoranking, notableWork, Suh Different]
-
A.
Shuh
Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
-
B.
Sung
Sung is the given name of actor Sung Kang, best known for his role as Han in the Fast & Furious film franchise.
-
C.
Hoon
Hoon is a surname most notably associated with Shannon Hoon, the late lead singer of the rock band Blind Melon.
-
D.
So Mi So
"So Mi So" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy melody and danceable rhythm.
-
E.
Sonning
Sonning is a picturesque village on the River Thames in Berkshire, England, known for its historic architecture, scenic riverside setting, and literary associations.
- 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: Suh Different Triple: [Patoranking, notableWork, Suh Different]
Generated description
"Suh Different" is a popular Afro-dancehall song by Nigerian artist Patoranking, known for its catchy rhythm and dance-inducing vibe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suh Different Target entity description: "Suh Different" is a popular Afro-dancehall song by Nigerian artist Patoranking, known for its catchy rhythm and dance-inducing vibe.
-
A.
Shuh
Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
-
B.
Sung
Sung is the given name of actor Sung Kang, best known for his role as Han in the Fast & Furious film franchise.
-
C.
Hoon
Hoon is a surname most notably associated with Shannon Hoon, the late lead singer of the rock band Blind Melon.
-
D.
So Mi So
"So Mi So" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy melody and danceable rhythm.
-
E.
Sonning
Sonning is a picturesque village on the River Thames in Berkshire, England, known for its historic architecture, scenic riverside setting, and literary associations.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.