Triple
T5981356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMERGE (Study 302) |
E133123
|
entity |
| Predicate | drugBrandName |
P40804
|
FINISHED |
| Object | Aduhelm |
E24938
|
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: Aduhelm | Statement: [EMERGE (Study 302), drugBrandName, Aduhelm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aduhelm Context triple: [EMERGE (Study 302), drugBrandName, Aduhelm]
-
A.
Aduhelm
chosen
Aduhelm is an Alzheimer’s disease drug developed by Biogen that targets amyloid-beta plaques in the brain.
-
B.
bapineuzumab
Bapineuzumab is a humanized monoclonal antibody that was investigated as an immunotherapy for Alzheimer’s disease by targeting beta-amyloid plaques.
-
C.
Onpattro
Onpattro is an RNA interference (RNAi) therapeutic used to treat polyneuropathy in adults with hereditary transthyretin-mediated (hATTR) amyloidosis.
-
D.
Namenda
Namenda is a prescription medication used to treat moderate to severe Alzheimer's disease by regulating the activity of glutamate in the brain.
-
E.
Donepezil
Donepezil is a cholinesterase inhibitor medication primarily used to treat cognitive symptoms of Alzheimer's disease.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6921b081908a6f6323d5c7a062 |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10847cdec81908a4d2d19d8a53d1d |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:04 p.m.