Triple

T23399860
Position Surface form Disambiguated ID Type / Status
Subject CYP2D6 E559472 entity
Predicate polymorphismConsequence P149323 FINISHED
Object interindividual variability in drug response 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: interindividual variability in drug response | Statement: [CYP2D6, polymorphismConsequence, interindividual variability in drug response]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: polymorphismConsequence
Context triple: [CYP2D6, polymorphismConsequence, interindividual variability in drug response]
  • A. polymorphic
    Indicates that an entity can take on multiple distinct forms or types while maintaining a common interface or role in a relationship or action.
  • B. molecularConsequence chosen
    Indicates the specific effect or change that a genetic variant has at the molecular level, such as how it alters a gene’s sequence or product.
  • C. hasMolecularConsequence
    Indicates the specific effect or outcome that a molecular event (such as a genetic variant) has at the molecular level, such as on a gene, transcript, or protein.
  • D. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • E. workerPolymorphism
    Indicates that an entity functions as a worker in multiple forms or roles, varying its behavior or type depending on 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dedfcc8190ab93cec3c3d15c53 completed April 29, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:37 p.m.