Triple
T12725757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamz |
E304101
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Liquid Beatz
Liquid Beatz is a music producer known for crafting contemporary, beat-driven tracks, particularly in collaboration with the artist Jamz.
|
E1001027
|
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: Liquid Beatz | Statement: [Jamz, producer, Liquid Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liquid Beatz Context triple: [Jamz, producer, Liquid Beatz]
-
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.
Jhankaar Beats
Jhankaar Beats is a 2003 Hindi musical comedy film known for its tribute to R.D. Burman, its popular soundtrack, and its story of three friends forming a band.
-
C.
Dead Beats
Dead Beats is a comic book series written by Eric Palicki, known for its blend of music-themed storytelling and supernatural or horror elements.
-
D.
Phonix Beats
Phonix Beats is a music producer best known for working on J. Cole’s hit track “No Role Modelz.”
-
E.
Quick Beatz
Quick Beatz is a music producer known for crafting high-energy, adrenaline-fueled tracks.
- 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: Liquid Beatz Triple: [Jamz, producer, Liquid Beatz]
Generated description
Liquid Beatz is a music producer known for crafting contemporary, beat-driven tracks, particularly in collaboration with the artist Jamz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liquid Beatz Target entity description: Liquid Beatz is a music producer known for crafting contemporary, beat-driven tracks, particularly in collaboration with the artist Jamz.
-
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.
Jhankaar Beats
Jhankaar Beats is a 2003 Hindi musical comedy film known for its tribute to R.D. Burman, its popular soundtrack, and its story of three friends forming a band.
-
C.
Dead Beats
Dead Beats is a comic book series written by Eric Palicki, known for its blend of music-themed storytelling and supernatural or horror elements.
-
D.
Phonix Beats
Phonix Beats is a music producer best known for working on J. Cole’s hit track “No Role Modelz.”
-
E.
Quick Beatz
Quick Beatz is a music producer known for crafting high-energy, adrenaline-fueled tracks.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96415ebe48190ae935bc3a9b00f65 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c85c6b88190bbdd94a43915a7a4 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67d888d7c8190b9aaeb877984a403 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e0f48e4819085905564f5540f37 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:25 p.m.