Triple
T22576105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ski Beatz |
E544399
|
entity |
| Predicate | producedFor |
P1576
|
FINISHED |
| Object | Jay Electronica |
—
|
NE NERFINISHED |
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: Jay Electronica | Statement: [Ski Beatz, producedFor, Jay Electronica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Electronica Context triple: [Ski Beatz, producedFor, Jay Electronica]
-
A.
Jay Electronica
chosen
Jay Electronica is an American rapper and producer known for his elusive career, intricate lyricism, and critically acclaimed work with artists like JAY-Z.
-
B.
Ed Lay
Ed Lay is the drummer for the British indie rock band Editors, known for his dynamic and atmospheric percussion style.
-
C.
Jay E
Jay E is an American record producer best known for crafting the distinctive sound of early 2000s St. Louis hip hop, including much of Nelly’s breakthrough work.
-
D.
Jay
Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
-
E.
Jay
Jay is a key young activist character in the film "Okja," involved in the animal-rights resistance against a powerful corporation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.