Triple
T33637232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | idarucizumab |
E861730
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | monoclonal antibody fragment |
C7047
|
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: monoclonal antibody fragment Context triple: [idarucizumab, instanceOf, monoclonal antibody fragment]
-
A.
monoclonal antibody
chosen
A monoclonal antibody is a laboratory-produced molecule engineered to bind specifically to a single epitope on an antigen, enabling targeted detection or treatment of diseases.
-
B.
antibody discovery platform
An antibody discovery platform is an integrated system of technologies, workflows, and data analytics used to identify, characterize, and optimize novel antibodies for therapeutic, diagnostic, or research applications.
-
C.
Fc gamma receptor
Fc gamma receptor is a cell-surface receptor that specifically binds the Fc region of IgG antibodies, mediating immune functions such as phagocytosis, antibody-dependent cellular cytotoxicity, and modulation of inflammatory responses.
-
D.
Bruton tyrosine kinase inhibitor
A Bruton tyrosine kinase inhibitor is a targeted small-molecule drug that blocks BTK signaling in B cells to disrupt pathways critical for their activation, proliferation, and survival, primarily used in the treatment of certain B-cell malignancies and autoimmune diseases.
-
E.
small molecule
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.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.