Triple
T6223044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil music synthesizers |
E139160
|
entity |
| Predicate | hasNotableModel |
P1503
|
FINISHED |
| Object | Kurzweil Forte |
E139160
|
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: Kurzweil Forte | Statement: [Kurzweil music synthesizers, hasNotableModel, Kurzweil Forte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurzweil Forte Context triple: [Kurzweil music synthesizers, hasNotableModel, Kurzweil Forte]
-
A.
Kurzweil music synthesizers
chosen
Kurzweil music synthesizers are a line of high-end electronic keyboards and sound modules renowned for their realistic acoustic instrument emulations and advanced synthesis technology.
-
B.
Steinberg
Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
-
C.
Steinberg
Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
-
D.
Steinberg
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
-
E.
Claviere
Claviere is a small alpine village and ski resort in northwestern Italy, known for its mountain scenery and winter sports facilities.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c06c7881909999ba44aa4a23f9 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dcc5e788190a510cac6bbad4830 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.