Triple
T15982910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertex Pharmaceuticals |
E387617
|
entity |
| Predicate | regulatoryApprovalFor |
P24602
|
FINISHED |
| Object | Kalydeco |
E1188101
|
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: Kalydeco | Statement: [Vertex Pharmaceuticals, regulatoryApprovalFor, Kalydeco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalydeco Context triple: [Vertex Pharmaceuticals, regulatoryApprovalFor, Kalydeco]
-
A.
Kalydeco
chosen
Kalydeco is a prescription medication used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
-
B.
Andexxa
Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
-
C.
Docefrez
Docefrez is a branded formulation of the chemotherapy drug docetaxel used to treat various cancers, including breast, lung, and prostate cancer.
-
D.
Altabix
Altabix is a residential neighborhood in the city of Elche, Spain, known for its local sports facilities and community-focused urban environment.
-
E.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
- 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.