Triple
T23225926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascada |
E581011
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fever
"Fever" is a 2004 dance-pop song by the German Eurodance group Cascada, known for its energetic beat and club-friendly sound.
|
E1578698
|
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: [Cascada, notableWork, Fever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fever Context triple: [Cascada, notableWork, Fever]
-
A.
Fever
"Fever" is a 2014 blues-rock single by American rock duo The Black Keys, known for its catchy organ riff and appearance on their album "Turn Blue."
-
B.
Fever
"Fever" is a track by the experimental hip-hop group Black Milk, known for its intricate production and innovative approach to rap music.
-
C.
Fever
"Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
-
D.
Fever
"Fever" is a popular dancehall track by Jamaican artist Adidja Palmer, better known as Vybz Kartel, noted for its infectious rhythm and widespread club and radio play.
-
E.
Fever
"Fever" is a studio album by the American pop-rock band Against the Current, showcasing their energetic, melodic style and emotionally charged songwriting.
- 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: [Cascada, notableWork, Fever]
Generated description
"Fever" is a 2004 dance-pop song by the German Eurodance group Cascada, known for its energetic beat and club-friendly sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fever Target entity description: "Fever" is a 2004 dance-pop song by the German Eurodance group Cascada, known for its energetic beat and club-friendly sound.
-
A.
Fever
"Fever" is a popular dancehall track by Jamaican artist Adidja Palmer, better known as Vybz Kartel, noted for its infectious rhythm and widespread club and radio play.
-
B.
Fever
"Fever" is a 2014 blues-rock single by American rock duo The Black Keys, known for its catchy organ riff and appearance on their album "Turn Blue."
-
C.
Fever
"Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
-
D.
Fever
"Fever" is a classic, sultry jazz-pop song popularized by Peggy Lee, renowned for its minimalist arrangement and intimate vocal style.
-
E.
Fever
"Fever" is a studio album by the American pop-rock band Against the Current, showcasing their energetic, melodic style and emotionally charged songwriting.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922e2d2c81908c0f3fa5df8a5c58 |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f51c9ec81909d8838c7e1d47468 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c43740a7c81909e9af7a9974a5700 |
completed | May 19, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c44d05c748190a5f4ab5f76dfcaab |
completed | May 19, 2026, 11:09 a.m. |
Created at: April 17, 2026, 4:08 p.m.