Triple
T9812299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | aflibercept |
E238303
|
entity |
| Predicate | hasTradeName |
P24555
|
FINISHED |
| Object | Eylea |
E579609
|
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: Eylea | Statement: [aflibercept, hasTradeName, Eylea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eylea Context triple: [aflibercept, hasTradeName, Eylea]
-
A.
Eylea
chosen
Eylea is a widely used injectable drug for treating retinal diseases such as wet age-related macular degeneration by inhibiting vascular endothelial growth factor (VEGF).
-
B.
Marico Eye
Marico Eye is a clear natural spring in South Africa that forms the primary headwaters of the Marico River.
-
C.
Ornea
Ornea is a minor figure in Greek mythology known primarily as one of the many children of the river god Asopus.
-
D.
Reitia
Reitia is an ancient goddess venerated by the Veneti people of northeastern Italy, often linked to writing, healing, and protection.
-
E.
Skyrizi
Skyrizi is a prescription biologic medication used to treat moderate to severe plaque psoriasis, psoriatic arthritis, and Crohn’s disease by targeting the interleukin-23 (IL-23) pathway.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb222ba788190a9085272a3de7852 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc63c450819091e57030a48e7d88 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:30 p.m.