Triple
T972846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzheimer's disease |
E20980
|
entity |
| Predicate | canBeTreatedWith |
P4714
|
FINISHED |
| Object |
memantine
Memantine is a medication that helps manage symptoms of moderate to severe Alzheimer's disease by modulating glutamate activity in the brain.
|
E115307
|
NE FINISHED |
How this triple was built (4 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: memantine | Statement: [Alzheimer's disease, canBeTreatedWith, memantine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: memantine Context triple: [Alzheimer's disease, canBeTreatedWith, memantine]
-
A.
Mem
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
-
B.
MCI-Shirley
MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
-
C.
Aduhelm
Aduhelm is an Alzheimer’s disease drug developed by Biogen that targets amyloid-beta plaques in the brain.
-
D.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
E.
Tysabri
Tysabri is a monoclonal antibody medication primarily used to treat relapsing forms of multiple sclerosis and Crohn’s disease.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: memantine Triple: [Alzheimer's disease, canBeTreatedWith, memantine]
Generated description
Memantine is a medication that helps manage symptoms of moderate to severe Alzheimer's disease by modulating glutamate activity in the brain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: memantine Target entity description: Memantine is a medication that helps manage symptoms of moderate to severe Alzheimer's disease by modulating glutamate activity in the brain.
-
A.
Mem
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
-
B.
MCI-Shirley
MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
-
C.
Aduhelm
Aduhelm is an Alzheimer’s disease drug developed by Biogen that targets amyloid-beta plaques in the brain.
-
D.
Leqembi
Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
-
E.
Tysabri
Tysabri is a monoclonal antibody medication primarily used to treat relapsing forms of multiple sclerosis and Crohn’s disease.
- F. None of above. chosen
Provenance (5 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b75103688190a14342eef3842984 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170a00f481909da0394531ac24fe |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac18e9be2081909770ab2ead56d0db |
completed | March 7, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac195b7cd08190b2c3f07d7ae849ed |
completed | March 7, 2026, 12:26 p.m. |
Created at: March 1, 2026, 7:40 p.m.