Triple
T6005123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ionis Pharmaceuticals, Inc. |
E133689
|
entity |
| Predicate | notableModality |
P68697
|
FINISHED |
| Object | antisense oligonucleotides |
—
|
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: antisense oligonucleotides | Statement: [Ionis Pharmaceuticals, Inc., notableModality, antisense oligonucleotides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableModality Context triple: [Ionis Pharmaceuticals, Inc., notableModality, antisense oligonucleotides]
-
A.
notableMode
Indicates that the subject is recognized for or distinguished by the specified mode, manner, or method of operation or expression.
-
B.
notableModel
Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
-
C.
notableSystem
Indicates that a system is recognized as significant, prominent, or noteworthy in a particular context or domain.
-
D.
notableRendering
Indicates that one entity is a significant or well-known visual or artistic depiction of another entity.
-
E.
notableStandard
Indicates that one entity is a widely recognized or influential standard that the other entity is associated with or exemplifies.
- F. None of above. chosen
Provenance (4 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:06 p.m.