Triple
T6065086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMN2 |
E135135
|
entity |
| Predicate | targetOfDrug |
P37016
|
FINISHED |
| Object |
branaplam
Branaplam is an investigational small-molecule splicing modulator originally developed for spinal muscular atrophy that enhances SMN protein production by altering SMN2 pre-mRNA splicing.
|
E567204
|
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: branaplam | Statement: [SMN2, targetOfDrug, branaplam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: branaplam Context triple: [SMN2, targetOfDrug, branaplam]
-
A.
Brn
Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
-
B.
Brakni
Brakni is the surname of Rachida Brakni, a French actress and director known for her work in film, television, and theater.
-
C.
Brenz
The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
-
D.
BPN
BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
-
E.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
- 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: branaplam Triple: [SMN2, targetOfDrug, branaplam]
Generated description
Branaplam is an investigational small-molecule splicing modulator originally developed for spinal muscular atrophy that enhances SMN protein production by altering SMN2 pre-mRNA splicing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: branaplam Target entity description: Branaplam is an investigational small-molecule splicing modulator originally developed for spinal muscular atrophy that enhances SMN protein production by altering SMN2 pre-mRNA splicing.
-
A.
Brn
Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
-
B.
Brakni
Brakni is the surname of Rachida Brakni, a French actress and director known for her work in film, television, and theater.
-
C.
Brenz
The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
-
D.
BPN
BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
-
E.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05723c91c819090b4d4672e72f9f3 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d23dca8819080702ca0f05df5dd |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11dec348c819090715aa1ec407f11 |
completed | March 23, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e5efd848190adb834e42b4bdc9e |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:10 p.m.