Triple
T12258699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstar |
E292166
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Q-Beats
Q-Beats is a music producer recognized for crafting hit tracks for high-profile artists.
|
E972952
|
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: Q-Beats | Statement: [Superstar, producer, Q-Beats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Q-Beats Context triple: [Superstar, producer, Q-Beats]
-
A.
Firebeatz
Firebeatz is a Dutch electronic dance music duo known for their high-energy big room and electro house tracks and frequent releases on major dance labels.
-
B.
Beat Box
"Beat Box" is an influential 1983 experimental electronic track by the Art of Noise, known for its innovative use of sampling and production techniques.
-
C.
Artbeatz
Artbeatz is a music label associated with American singer Daya, known for releasing her pop and electronic-influenced tracks.
-
D.
Toydrum
Toydrum is a British electronic music duo known for their atmospheric, cinematic soundtracks and film and television score work.
-
E.
Machinedrum
Machinedrum is an American electronic music producer and DJ known for his innovative fusion of jungle, footwork, IDM, and hip-hop influences.
- 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: Q-Beats Triple: [Superstar, producer, Q-Beats]
Generated description
Q-Beats is a music producer recognized for crafting hit tracks for high-profile artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Q-Beats Target entity description: Q-Beats is a music producer recognized for crafting hit tracks for high-profile artists.
-
A.
Firebeatz
Firebeatz is a Dutch electronic dance music duo known for their high-energy big room and electro house tracks and frequent releases on major dance labels.
-
B.
Beat Box
"Beat Box" is an influential 1983 experimental electronic track by the Art of Noise, known for its innovative use of sampling and production techniques.
-
C.
Artbeatz
Artbeatz is a music label associated with American singer Daya, known for releasing her pop and electronic-influenced tracks.
-
D.
Toydrum
Toydrum is a British electronic music duo known for their atmospheric, cinematic soundtracks and film and television score work.
-
E.
Machinedrum
Machinedrum is an American electronic music producer and DJ known for his innovative fusion of jungle, footwork, IDM, and hip-hop influences.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abfc8588190ab9300c6e5e59092 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f61a13fd1481908a06ca65b276e0e1 |
completed | May 2, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f61ad2bd0c8190ada37bc1f8ae160f |
completed | May 2, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:52 p.m.