Triple
T23399864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYP2D6 |
E559472
|
entity |
| Predicate | hasAllele |
P78759
|
FINISHED |
| Object | CYP2D6*1 |
—
|
NE NERFINISHED |
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: CYP2D6*1 | Statement: [CYP2D6, hasAllele, CYP2D6*1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CYP2D6*1 Context triple: [CYP2D6, hasAllele, CYP2D6*1]
-
A.
CYP2D6
chosen
CYP2D6 is a highly polymorphic cytochrome P450 enzyme that plays a major role in the metabolism of many drugs, contributing significantly to interindividual variability in drug response.
-
B.
CYP2C19
CYP2C19 is a liver enzyme of the cytochrome P450 family that plays a key role in the metabolism of various drugs, including certain antidepressants, proton pump inhibitors, and antiplatelet agents.
-
C.
CYP2B6
CYP2B6 is a human liver cytochrome P450 enzyme that plays a key role in the metabolism of various drugs and xenobiotics.
-
D.
CYP2C9
CYP2C9 is a liver enzyme of the cytochrome P450 family that plays a key role in metabolizing various drugs, including many nonsteroidal anti-inflammatory agents and anticoagulants.
-
E.
CYP3A5
CYP3A5 is a liver-expressed cytochrome P450 enzyme that metabolizes various drugs and xenobiotics, contributing to interindividual variability in drug clearance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.