Triple
T2713457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wizkid |
E59913
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fever
"Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
|
E292160
|
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: Fever | Statement: [Wizkid, notableWork, Fever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fever Context triple: [Wizkid, notableWork, Fever]
-
A.
Flu
Flu is the popular nickname of Fluminense Football Club, a traditional Brazilian football team based in Rio de Janeiro.
-
B.
Heat
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
C.
The Fever Van
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
-
D.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
E.
HSP
HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
- 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: Fever Triple: [Wizkid, notableWork, Fever]
Generated description
"Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fever Target entity description: "Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
-
A.
Flu
Flu is the popular nickname of Fluminense Football Club, a traditional Brazilian football team based in Rio de Janeiro.
-
B.
Heat
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
C.
The Fever Van
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
-
D.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
E.
HSP
HSP (Headset Profile) is a Bluetooth standard that defines how wireless headsets communicate with devices like phones and computers for basic audio and control functions.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68552848190ad2e615e16716fa1 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb74d9f4c8190b6b3f568babfb7b5 |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7c2b9d08190bce599c364d809b7 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:55 p.m.