Triple
T21568198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon speech recognition software |
E532214
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | Dragon Medical |
—
|
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: Dragon Medical | Statement: [Dragon speech recognition software, hasEdition, Dragon Medical]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragon Medical Context triple: [Dragon speech recognition software, hasEdition, Dragon Medical]
-
A.
Dragon Medical One
chosen
Dragon Medical One is a cloud-based speech recognition solution designed for healthcare professionals to create and manage clinical documentation efficiently.
-
B.
Iron Medics
Iron Medics is the nickname of the U.S. Army’s 1st Medical Brigade, a unit known for providing comprehensive medical support to military operations.
-
C.
Medicosma
Medicosma is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs and small trees native mainly to Australasia and nearby regions.
-
D.
Medikal
Medikal is a Ghanaian hip hop and Afrobeats rapper known for his witty wordplay, energetic delivery, and collaborations across the West African music scene.
-
E.
Unity Hospital
Unity Hospital is a healthcare facility in Fridley, Minnesota, serving as a key medical center and major employer for the surrounding community.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cad95c8190ab165ced6f242302 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 16, 2026, 6:30 p.m.