Triple
T22843664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Linn |
E566155
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Linn 9000 |
—
|
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: Linn 9000 | Statement: [Roger Linn, designed, Linn 9000]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linn 9000 Context triple: [Roger Linn, designed, Linn 9000]
-
A.
Linn 9000
chosen
The Linn 9000 is a pioneering 1980s drum machine and MIDI sequencer that combined sampling, sequencing, and performance controls in a single professional production workstation.
-
B.
Linn Electronics
Linn Electronics was an innovative music technology company best known for creating early digital drum machines that helped shape the sound of 1980s popular music.
-
C.
Linn
Linn is a historic district of the German city of Krefeld, known for its medieval castle and well-preserved old town.
-
D.
Linn
Linn is a surname most notably borne by American actor Rex Linn, known for his roles in film and television crime dramas.
-
E.
Denon Wing
Denon Wing is one of the main wings of the Louvre Museum in Paris, housing many of its most famous artworks, including Leonardo da Vinci’s Mona Lisa.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e866080819091adfb41cd2a4e13 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.