Triple
T33206194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terfenadine |
E850017
|
entity |
| Predicate | affectsIonChannel |
P181366
|
FINISHED |
| Object | hERG potassium channel |
—
|
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: hERG potassium channel | Statement: [Terfenadine, affectsIonChannel, hERG potassium channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsIonChannel Context triple: [Terfenadine, affectsIonChannel, hERG potassium channel]
-
A.
affectsBehaviorOf
Indicates that one entity produces a change or influence on the behavior, actions, or conduct of another entity.
-
B.
affectsCellType
Indicates that one entity produces an effect or change on a specific type of cell.
-
C.
affectsChromosome
Indicates a relationship where one entity produces a change or impact on the structure, function, or integrity of a chromosome.
-
D.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
E.
affectsVariant
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: May 1, 2026, 1:30 a.m.