Triple
T16401698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikaze |
E398317
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jahaan Sweet |
E409320
|
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: Jahaan Sweet | Statement: [Kamikaze, producer, Jahaan Sweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jahaan Sweet Context triple: [Kamikaze, producer, Jahaan Sweet]
-
A.
Jahaan Sweet
chosen
Jahaan Sweet is an American record producer and songwriter known for his work with major hip-hop and R&B artists, contributing to critically acclaimed and commercially successful projects.
-
B.
Dulcé Sloan
Dulcé Sloan is an American stand-up comedian, actress, and correspondent best known for her work on "The Daily Show."
-
C.
Lindo Jong
Lindo Jong is a strong-willed Chinese immigrant mother in Amy Tan’s novel *The Joy Luck Club*, known for her resilience, cunning, and complex relationship with her American-born daughter.
-
D.
Mallya
Mallya is an Indian surname most prominently associated with businessman and former liquor baron Vijay Mallya.
-
E.
Hielan’ Laddie
Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cfb2fc8190bbc2765247c4b4e4 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c5e7b4881908245228730a65876 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.