Triple
T246736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Bethune |
E5053
|
entity |
| Predicate | medicalInnovation |
P7500
|
FINISHED |
| Object | early adoption of socialized medicine practices |
—
|
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 adoption of socialized medicine practices | Statement: [Norman Bethune, medicalInnovation, early adoption of socialized medicine practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalInnovation Context triple: [Norman Bethune, medicalInnovation, early adoption of socialized medicine practices]
-
A.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
B.
researchArm
Indicates that an entity is a specific study group or treatment arm within a research or clinical trial design.
-
C.
inspiredDevelopmentOf
Indicates that one entity served as a motivating influence or creative stimulus leading to the development or creation of another entity.
-
D.
technologyParadigm
Indicates a relationship where one entity represents or defines the overarching technological model, framework, or approach within which another entity operates or is categorized.
-
E.
healthcareType
chosen
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d13b8088190a3f48f0388d57496 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.