Triple
T14206464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.D.E. |
E352106
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rsonist |
E1086711
|
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: Rsonist | Statement: [S.D.E., producer, Rsonist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rsonist Context triple: [S.D.E., producer, Rsonist]
-
A.
Rsonist
chosen
Rsonist is an American hip-hop record producer best known as one half of the production duo The Heatmakerz, recognized for their work with artists like The Diplomats (Dipset).
-
B.
Rizous
Rizous is a locality within the regional unit of Magnesia in central Greece.
-
C.
Rist
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
-
D.
Ris
Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
-
E.
Rossens
Rossens is a municipality in the canton of Fribourg in western Switzerland, known for its proximity to the Lake of Gruyère and the Rossens dam.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280c948c8190948e55f1e1874f69 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:05 a.m.