Triple
T19995121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revelations of Divine Love |
E494172
|
entity |
| Predicate | settingOfVisions |
P138264
|
FINISHED |
| Object | sickbed experience |
—
|
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: sickbed experience | Statement: [Revelations of Divine Love, settingOfVisions, sickbed experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfVisions Context triple: [Revelations of Divine Love, settingOfVisions, sickbed experience]
-
A.
numberOfVisions
Indicates the quantity of visions experienced or associated with an entity.
-
B.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
C.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
D.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
-
E.
settingOfMyth
Indicates that a location or environment serves as the backdrop or context in which a particular myth takes place.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:31 p.m.