Triple
T14598984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Disease |
E342649
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Blue Benz
"Blue Benz" is a track by Nas from his Grammy-winning album "King's Disease," showcasing his reflective lyricism over soulful, modern production.
|
E1108690
|
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: Blue Benz | Statement: [King's Disease, hasPart, Blue Benz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Benz Context triple: [King's Disease, hasPart, Blue Benz]
-
A.
Black Mercedes
"Black Mercedes" is a song by the American metal band Trauma.
-
B.
Benz
Benz is a German surname most famously associated with automotive pioneer Karl Benz and the Mercedes-Benz brand.
-
C.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
-
D.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
E.
Benz Velo
The Benz Velo was one of the world’s first production automobiles, a lightweight, mass-produced car introduced by the German manufacturer Benz & Cie. in the late 19th century.
- 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: Blue Benz Triple: [King's Disease, hasPart, Blue Benz]
Generated description
"Blue Benz" is a track by Nas from his Grammy-winning album "King's Disease," showcasing his reflective lyricism over soulful, modern production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Benz Target entity description: "Blue Benz" is a track by Nas from his Grammy-winning album "King's Disease," showcasing his reflective lyricism over soulful, modern production.
-
A.
Black Mercedes
"Black Mercedes" is a song by the American metal band Trauma.
-
B.
Benz
Benz is a German surname most famously associated with automotive pioneer Karl Benz and the Mercedes-Benz brand.
-
C.
Bernmobil
Bernmobil is the public transport company responsible for operating trams, buses, and other urban transit services in the Swiss city of Bern.
-
D.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
E.
Benz Velo
The Benz Velo was one of the world’s first production automobiles, a lightweight, mass-produced car introduced by the German manufacturer Benz & Cie. in the late 19th century.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ca0fec81908fb9c674f48a793b |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd973985b881908f0c2fd201db8104 |
completed | May 8, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9843857c819089eb96564b8a9503 |
completed | May 8, 2026, 8:01 a.m. |
Created at: April 10, 2026, 1:25 a.m.