Triple
T17518972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stochelo Rosenberg |
E426637
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | Gypsy jazz |
—
|
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: Gypsy jazz | Statement: [Stochelo Rosenberg, genre, Gypsy jazz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gypsy jazz Context triple: [Stochelo Rosenberg, genre, Gypsy jazz]
-
A.
Klezmer
Klezmer is a traditional musical genre of Ashkenazi Jewish communities, characterized by expressive, dance-oriented melodies often played at celebrations such as weddings.
-
B.
Bebop
Bebop is a recurring mutant warthog villain in the Teenage Mutant Ninja Turtles franchise, often portrayed as a bumbling but dangerous henchman allied with Shredder.
-
C.
Jazz
Jazz is a retired American professional wrestler best known for her powerful in-ring style and multiple reigns as WWE Women's Champion in the early 2000s.
-
D.
Jazz
chosen
Jazz is a genre of music characterized by swing, improvisation, complex harmonies, and roots in African American musical traditions.
-
E.
Jazz
Jazz is a stylish, music-loving Autobot from the Transformers franchise, known for his cool demeanor, loyalty to Optimus Prime, and skill in combat and reconnaissance.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.