Triple
T1169601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ionis Pharmaceuticals |
E24882
|
entity |
| Predicate | therapeuticApproach |
P10363
|
FINISHED |
| Object | RNA-targeted drug discovery |
—
|
LITERAL 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: RNA-targeted drug discovery | Statement: [Ionis Pharmaceuticals, therapeuticApproach, RNA-targeted drug discovery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: therapeuticApproach Context triple: [Ionis Pharmaceuticals, therapeuticApproach, RNA-targeted drug discovery]
-
A.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
B.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
C.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
D.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
E.
includesApproach
chosen
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
- F. None of above.
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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.