Triple
T13494883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Pump |
E320729
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Smokepurpp |
E320730
|
NE FINISHED |
How this triple was built (2 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: Smokepurpp | Statement: [Lil Pump, associatedAct, Smokepurpp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smokepurpp Context triple: [Lil Pump, associatedAct, Smokepurpp]
-
A.
Smokepurpp
chosen
Smokepurpp is an American rapper and producer known for his role in the SoundCloud rap scene and collaborations with artists like Lil Pump and Ronny J.
-
B.
Joey Purp
Joey Purp is a Chicago-based rapper and member of the SaveMoney collective known for his sharp lyricism and collaborations within the city's vibrant hip-hop scene.
-
C.
Kid Ink
Kid Ink is an American rapper, singer, and producer known for his melodic hip-hop tracks and collaborations with mainstream pop and R&B artists.
-
D.
Trippie Redd
Trippie Redd is an American rapper and singer known for his melodic, emo-influenced trap style and hits like "Love Scars" and "Topanga."
-
E.
Smino
Smino is an American rapper and singer known for his melodic, genre-blending style and inventive wordplay within contemporary hip-hop and R&B.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463d3a948190aab07a25fd903d4e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.