Triple
T38280339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogmatic school of medicine |
E1022064
|
entity |
| Predicate | viewOnExperience |
P194226
|
FINISHED |
| Object | clinical experience must be interpreted through theory |
—
|
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: clinical experience must be interpreted through theory | Statement: [Dogmatic school of medicine, viewOnExperience, clinical experience must be interpreted through theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnExperience Context triple: [Dogmatic school of medicine, viewOnExperience, clinical experience must be interpreted through theory]
-
A.
viewOnReality
Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
-
B.
visualExperience
Indicates a relationship where an entity undergoes or has a particular experience involving visual perception or seeing.
-
C.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
-
D.
viewOnLife
Indicates a person's general attitude, perspective, or philosophy regarding life.
-
E.
viewOnGood
Indicates a positive or approving perspective held toward something.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:30 p.m.