Triple
T8530287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yung Lean |
E201926
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Bladee
Bladee is a Swedish rapper, singer, and visual artist known for his ethereal, autotuned vocals and influential role in the Drain Gang collective within the cloud rap and experimental hip-hop scenes.
|
E741732
|
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: Bladee | Statement: [Yung Lean, associatedAct, Bladee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bladee Context triple: [Yung Lean, associatedAct, Bladee]
-
A.
Bladel
Bladel is a town and municipality in the southern Netherlands, located in the province of North Brabant near the Belgian border.
-
B.
Blu
Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
-
C.
Blu
Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
-
D.
Blu
Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
-
E.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
- 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: Bladee Triple: [Yung Lean, associatedAct, Bladee]
Generated description
Bladee is a Swedish rapper, singer, and visual artist known for his ethereal, autotuned vocals and influential role in the Drain Gang collective within the cloud rap and experimental hip-hop scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bladee Target entity description: Bladee is a Swedish rapper, singer, and visual artist known for his ethereal, autotuned vocals and influential role in the Drain Gang collective within the cloud rap and experimental hip-hop scenes.
-
A.
Bladel
Bladel is a town and municipality in the southern Netherlands, located in the province of North Brabant near the Belgian border.
-
B.
Blu
Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
-
C.
Blu
Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
-
D.
Blu
Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
-
E.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67546248190b359c845c0161ad3 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d68d14c81908bde8ca0113f9503 |
completed | April 2, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69ce6ec1e74081908fc235ffd13ef301 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe13a00819095f5bec408435426 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:17 p.m.