Triple
T15982912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertex Pharmaceuticals |
E387617
|
entity |
| Predicate | regulatoryApprovalFor |
P24602
|
FINISHED |
| Object | Symdeko |
E1188103
|
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: Symdeko | Statement: [Vertex Pharmaceuticals, regulatoryApprovalFor, Symdeko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symdeko Context triple: [Vertex Pharmaceuticals, regulatoryApprovalFor, Symdeko]
-
A.
Symdeko
chosen
Symdeko is a prescription combination therapy developed by Vertex Pharmaceuticals for the treatment of certain forms of cystic fibrosis.
-
B.
Sicogi
Sicogi is a residential neighborhood located in the Marcory commune of Abidjan, Côte d'Ivoire.
-
C.
Vabysmo
Vabysmo is the brand name for faricimab, an injectable eye medication used to treat retinal diseases such as neovascular (wet) age-related macular degeneration and diabetic macular edema.
-
D.
Sikma
Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
-
E.
Dek
Dek is a short or informal nickname commonly used for someone named Derek.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15755b5548190acfa29eecb11e675 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1abad48190a42510605c30d0b3 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.