Triple
T19891177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Phipps |
E478033
|
entity |
| Predicate | testSubjectIn |
P135972
|
FINISHED |
| Object | early smallpox vaccine trials |
—
|
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: early smallpox vaccine trials | Statement: [James Phipps, testSubjectIn, early smallpox vaccine trials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSubjectIn Context triple: [James Phipps, testSubjectIn, early smallpox vaccine trials]
-
A.
testSubjectOf
chosen
Indicates that an entity serves as the subject or participant on which a test, experiment, or evaluation is performed.
-
B.
testsSubject
Indicates that one entity administers or performs a test or examination on another entity as its subject.
-
C.
containsTest
Indicates that one entity includes or encompasses another entity as a test or testing component.
-
D.
testObjective
Indicates that an entity serves as the goal, purpose, or intended outcome of a test or testing activity.
-
E.
testedInCase
Indicates that something (such as a method, component, or behavior) is exercised or verified within a particular test case.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590e02388190ab82918750cc2647 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.