Triple
T23399801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cunningham virus |
E559471
|
entity |
| Predicate | infectionPattern |
P152113
|
FINISHED |
| Object | typically asymptomatic |
—
|
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: typically asymptomatic | Statement: [John Cunningham virus, infectionPattern, typically asymptomatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectionPattern Context triple: [John Cunningham virus, infectionPattern, typically asymptomatic]
-
A.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
-
B.
infectionMethod
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
C.
infectionPhase
Indicates the specific stage or period within the course of an infection that an entity is currently experiencing.
-
D.
infectionResult
Indicates that one entity causes or leads to a particular outcome, condition, or state as a result of an infection affecting another entity.
-
E.
infectsTissue
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue 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_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. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:37 p.m.