Triple
T1172236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aduhelm |
E24938
|
entity |
| Predicate | targetDiseaseStage |
P9657
|
FINISHED |
| Object | early Alzheimer's disease |
—
|
LITERAL 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: early Alzheimer's disease | Statement: [Aduhelm, targetDiseaseStage, early Alzheimer's disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetDiseaseStage Context triple: [Aduhelm, targetDiseaseStage, early Alzheimer's disease]
-
A.
stageOf
chosen
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
B.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
C.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
D.
stageName
Indicates that one entity is the performance or professional name used by another entity.
-
E.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
- F. None of above.
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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bceb3f188190b8b767380fe5986f |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.