Triple
T6006200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanofi |
E133715
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Lantus |
E111048
|
NE 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: Lantus | Statement: [Sanofi, hasBrand, Lantus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lantus Context triple: [Sanofi, hasBrand, Lantus]
-
A.
Trulicity
Trulicity is a prescription GLP-1 receptor agonist medication used to improve blood sugar control in adults with type 2 diabetes.
-
B.
Januvia
Januvia is a prescription medication (sitagliptin) used to help control blood sugar levels in adults with type 2 diabetes.
-
C.
Mounjaro
Mounjaro is a prescription medication (tirzepatide) used primarily to improve blood sugar control in adults with type 2 diabetes and increasingly known for its weight-loss effects.
-
D.
Farxiga
Farxiga is a prescription SGLT2 inhibitor medication used primarily to treat type 2 diabetes and reduce the risk of cardiovascular and kidney complications.
-
E.
insulin
chosen
Insulin is a peptide hormone produced by the pancreas that regulates blood glucose levels and is essential in the treatment of diabetes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f128354819088971ee398cbda77 |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10895559081908b9efdd32ecef37f |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.