Triple
T19891094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Jenner |
E478030
|
entity |
| Predicate | usedMaterialFrom |
P83808
|
FINISHED |
| Object | cowpox lesions for vaccination |
—
|
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: cowpox lesions for vaccination | Statement: [Edward Jenner, usedMaterialFrom, cowpox lesions for vaccination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMaterialFrom Context triple: [Edward Jenner, usedMaterialFrom, cowpox lesions for vaccination]
-
A.
usesMaterialBy
chosen
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
originalMaterialFor
Indicates that one entity serves as the source or basis material from which another entity is derived, adapted, or created.
-
D.
materialReusedAt
Indicates that some or all of a material is used again at a specified location or facility.
-
E.
performedMaterialFrom
Indicates that an agent executed or presented a performance using or based on a particular material or source work.
- 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.