Triple
T20517487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equals |
E503717
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Sascha Ring |
—
|
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: Sascha Ring | Statement: [Equals, musicBy, Sascha Ring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sascha Ring Context triple: [Equals, musicBy, Sascha Ring]
-
A.
Sascha Ring
chosen
Sascha Ring, better known by his stage name Apparat, is a German electronic musician, composer, and member of the group Moderat, recognized for his atmospheric and cinematic soundscapes.
-
B.
Sascha Schneider
Sascha Schneider was a German Symbolist painter and illustrator known for his allegorical, often homoerotic works and his collaboration on illustrations for Karl May’s adventure novels.
-
C.
Sascha Jacobsen
Sascha Jacobsen is a notable individual, likely recognized for significant contributions in a professional or artistic field.
-
D.
Andreas Bovenschulte
Andreas Bovenschulte is a German politician who serves as the President of the Senate and Mayor of the federal state of Bremen.
-
E.
Kai Wiesinger
Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.