Triple
T1172178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vumerity |
E24937
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | diroximel fumarate |
E24937
|
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: diroximel fumarate | Statement: [Vumerity, brandOf, diroximel fumarate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: diroximel fumarate Context triple: [Vumerity, brandOf, diroximel fumarate]
-
A.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
B.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
C.
Alimta
Alimta is a chemotherapy drug (pemetrexed) primarily used to treat malignant pleural mesothelioma and non-small cell lung cancer.
-
D.
Vumerity
chosen
Vumerity is an oral prescription medication used to treat relapsing forms of multiple sclerosis in adults.
-
E.
Versonnex
Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bceb3f188190b8b767380fe5986f |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f1a13bc81909da2cfdbad397861 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:45 p.m.