Triple
T5689066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLARITY AD |
E125383
|
entity |
| Predicate | drugMechanism |
P58119
|
FINISHED |
| Object | anti-amyloid monoclonal antibody |
—
|
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: anti-amyloid monoclonal antibody | Statement: [CLARITY AD, drugMechanism, anti-amyloid monoclonal antibody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drugMechanism Context triple: [CLARITY AD, drugMechanism, anti-amyloid monoclonal antibody]
-
A.
activationMechanism
Indicates the process or method by which one entity initiates, triggers, or enables the activity or functioning of another entity.
-
B.
definesMechanism
Indicates that one entity specifies or explains the underlying process or mechanism by which another entity operates or occurs.
-
C.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
D.
mentionsMechanism
chosen
Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
-
E.
formationMechanism
Indicates the process or mechanism by which something is formed, created, or brought into existence.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.