Triple
T19157372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zetia |
E468959
|
entity |
| Predicate | hasGenericName |
P23148
|
FINISHED |
| Object | ezetimibe |
—
|
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: ezetimibe | Statement: [Zetia, hasGenericName, ezetimibe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ezetimibe Context triple: [Zetia, hasGenericName, ezetimibe]
-
A.
Zetia
chosen
Zetia is a prescription cholesterol-lowering medication (generic name ezetimibe) that reduces intestinal absorption of cholesterol and is marketed by Merck & Co.
-
B.
rosuvastatin
Rosuvastatin is a statin medication used to lower cholesterol and reduce cardiovascular risk by inhibiting HMG-CoA reductase.
-
C.
Lipitor
Lipitor is a widely prescribed statin medication used to lower cholesterol and reduce the risk of cardiovascular disease.
-
D.
Brilinta
Brilinta is a prescription antiplatelet medication (ticagrelor) used to reduce the risk of heart attack, stroke, and cardiovascular death in patients with acute coronary syndrome or a history of myocardial infarction.
-
E.
Farxiga
Farxiga is a prescription SGLT2 inhibitor medication used primarily to treat type 2 diabetes and reduce the risk of cardiovascular and kidney complications.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.