Triple
T21283582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Beiglböck |
E524592
|
entity |
| Predicate | ethicalAssessmentByHistorians |
P49575
|
FINISHED |
| Object | example of gross medical ethics violations |
—
|
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: example of gross medical ethics violations | Statement: [Wilhelm Beiglböck, ethicalAssessmentByHistorians, example of gross medical ethics violations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalAssessmentByHistorians Context triple: [Wilhelm Beiglböck, ethicalAssessmentByHistorians, example of gross medical ethics violations]
-
A.
ethicsAssessment
Indicates that an entity has been evaluated or judged according to ethical principles, standards, or guidelines.
-
B.
historicalAssessment
Indicates an evaluation or judgment of something based on its historical context, significance, or development over time.
-
C.
historicallyConsidered
Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
-
D.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
E.
characterizationByHistorians
chosen
Indicates how historians have described, interpreted, or evaluated a person, event, or phenomenon in their scholarly 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d3dfbc819081bd876d95c7c480 |
completed | April 21, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:03 p.m.