Triple
T2190769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janssen COVID-19 Vaccine |
E49854
|
entity |
| Predicate | efficacyAgainstSevereCOVID19 |
P37232
|
FINISHED |
| Object | higher than efficacy against moderate disease |
—
|
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: higher than efficacy against moderate disease | Statement: [Janssen COVID-19 Vaccine, efficacyAgainstSevereCOVID19, higher than efficacy against moderate disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efficacyAgainstSevereCOVID19 Context triple: [Janssen COVID-19 Vaccine, efficacyAgainstSevereCOVID19, higher than efficacy against moderate disease]
-
A.
covid19VaccineType
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
B.
covid19Impact
Indicates the effect, consequences, or influence that COVID-19 has on a given entity, condition, or situation.
-
C.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
D.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
E.
hasSeriousSideEffect
Indicates that an entity (such as a treatment, drug, or intervention) causes or is associated with a significant or severe adverse effect on another entity (typically a patient or biological system).
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:46 p.m.