Triple
T4784891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merck & Co. |
E106451
|
entity |
| Predicate | notableDrug |
P7501
|
FINISHED |
| Object |
Zetia
Zetia is a prescription cholesterol-lowering medication (generic name ezetimibe) that reduces intestinal absorption of cholesterol and is marketed by Merck & Co.
|
E468959
|
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: Zetia | Statement: [Merck & Co., notableDrug, Zetia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zetia Context triple: [Merck & Co., notableDrug, Zetia]
-
A.
Lamotrek
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
-
B.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
C.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
D.
Waylivra
Waylivra is a prescription antisense oligonucleotide therapy used to treat familial chylomicronemia syndrome (FCS) by reducing triglyceride levels in the blood.
-
E.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
- 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: Zetia Triple: [Merck & Co., notableDrug, Zetia]
Generated description
Zetia is a prescription cholesterol-lowering medication (generic name ezetimibe) that reduces intestinal absorption of cholesterol and is marketed by Merck & Co.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zetia Target entity description: Zetia is a prescription cholesterol-lowering medication (generic name ezetimibe) that reduces intestinal absorption of cholesterol and is marketed by Merck & Co.
-
A.
Lamotrek
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
-
B.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
C.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
-
D.
Waylivra
Waylivra is a prescription antisense oligonucleotide therapy used to treat familial chylomicronemia syndrome (FCS) by reducing triglyceride levels in the blood.
-
E.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c40b3c881909be9fd9ee892993b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43dbdec88190817845e7930a18f6 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be447c21d48190ab57c8761e733ff4 |
completed | March 21, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45f5ebec8190b62c428b465d1bd9 |
completed | March 21, 2026, 7:17 a.m. |
Created at: March 20, 2026, 1:22 p.m.