Triple
T15982889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertex Pharmaceuticals |
E387617
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object |
ivacaftor
Ivacaftor is a precision medicine drug used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
|
E1188100
|
NE FINISHED |
How this triple was built (4 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: ivacaftor | Statement: [Vertex Pharmaceuticals, notableProduct, ivacaftor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ivacaftor Context triple: [Vertex Pharmaceuticals, notableProduct, ivacaftor]
-
A.
Evrysdi
Evrysdi is an oral prescription medication used to treat spinal muscular atrophy (SMA) by increasing production of the survival motor neuron (SMN) protein.
-
B.
Vitrakvi
Vitrakvi is a targeted cancer therapy (larotrectinib) used to treat solid tumors that have a specific NTRK gene fusion, regardless of the tumor’s location in the body.
-
C.
Altabix
Altabix is a residential neighborhood in the city of Elche, Spain, known for its local sports facilities and community-focused urban environment.
-
D.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ivacaftor Triple: [Vertex Pharmaceuticals, notableProduct, ivacaftor]
Generated description
Ivacaftor is a precision medicine drug used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ivacaftor Target entity description: Ivacaftor is a precision medicine drug used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
-
A.
Evrysdi
Evrysdi is an oral prescription medication used to treat spinal muscular atrophy (SMA) by increasing production of the survival motor neuron (SMN) protein.
-
B.
Vitrakvi
Vitrakvi is a targeted cancer therapy (larotrectinib) used to treat solid tumors that have a specific NTRK gene fusion, regardless of the tumor’s location in the body.
-
C.
Altabix
Altabix is a residential neighborhood in the city of Elche, Spain, known for its local sports facilities and community-focused urban environment.
-
D.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
-
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. chosen
Provenance (5 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_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc5669c1c81909bacf61c96cb7816 |
completed | May 9, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5c7db1c8190b4e1de6f6e3ce8a0 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.