Triple
T19157081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRK |
E468952
|
entity |
| Predicate | issuerMajorProduct |
P64617
|
FINISHED |
| Object | Januvia |
—
|
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: Januvia | Statement: [MRK, issuerMajorProduct, Januvia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Januvia Context triple: [MRK, issuerMajorProduct, Januvia]
-
A.
Januvia
chosen
Januvia is a prescription medication (sitagliptin) used to help control blood sugar levels in adults with type 2 diabetes.
-
B.
Rybelsus
Rybelsus is an oral semaglutide medication used to improve blood sugar control in adults with type 2 diabetes.
-
C.
Trulicity
Trulicity is a prescription GLP-1 receptor agonist medication used to improve blood sugar control in adults with type 2 diabetes.
-
D.
Tresiba
Tresiba is a long-acting insulin medication used to improve blood sugar control in people with diabetes.
-
E.
Levemir
Levemir is a long-acting insulin analog used to help control blood sugar levels in people with diabetes.
- 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_69e5eeb9cf9081908b17073755e83554 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.