Triple
T6173553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggid Meisharim |
E137761
|
entity |
| Predicate | typeOfVisionaryFigure |
P21319
|
FINISHED |
| Object | maggid |
—
|
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: maggid | Statement: [Maggid Meisharim, typeOfVisionaryFigure, maggid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVisionaryFigure Context triple: [Maggid Meisharim, typeOfVisionaryFigure, maggid]
-
A.
visionaryOf
Indicates that one entity is the original conceiver or driving visionary behind the creation, direction, or concept of another entity.
-
B.
visionaryOccupation
chosen
Indicates that an entity holds an occupation or role characterized by forward-thinking, innovative, or visionary activities or responsibilities.
-
C.
numberOfVisionaries
Indicates the quantity or count of entities classified as visionaries in a given context.
-
D.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
E.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d94c47481909745b2533926a1ca |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.