Triple
T33292096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko143 |
E852343
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | small-molecule inhibitor |
C14985
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: small-molecule inhibitor Context triple: [Ko143, instanceOf, small-molecule inhibitor]
-
A.
small molecule
chosen
A small molecule is a low-molecular-weight organic compound, typically under 1,000 Daltons, that can readily diffuse across cell membranes and modulate biological processes by binding to specific molecular targets.
-
B.
IGF-1R inhibitor
An IGF-1R inhibitor is a drug that blocks the insulin-like growth factor 1 receptor to reduce signaling pathways that promote cell growth, survival, and proliferation, particularly in cancer cells.
-
C.
CDK4/6 inhibitor
A CDK4/6 inhibitor is a targeted anticancer drug that blocks cyclin-dependent kinases 4 and 6 to halt cell cycle progression from G1 to S phase, thereby inhibiting tumor cell proliferation.
-
D.
proteasome inhibitor
A proteasome inhibitor is a compound that blocks the activity of cellular proteasomes, preventing the degradation of ubiquitinated proteins and thereby disrupting key regulatory pathways, often used as an anticancer strategy.
-
E.
tyrosine kinase inhibitor
A tyrosine kinase inhibitor is a drug that blocks the activity of tyrosine kinases—enzymes involved in cell signaling pathways—to prevent uncontrolled cell growth and proliferation, commonly used in cancer therapy.
- F. None of above.
Provenance (1 batch)
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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.