Triple
T36865173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Loewenberg |
E911055
|
entity |
| Predicate | depictsThroughEyes |
P140911
|
FINISHED |
| Object | transformation of the Jewish homeland |
—
|
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: transformation of the Jewish homeland | Statement: [Friedrich Loewenberg, depictsThroughEyes, transformation of the Jewish homeland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsThroughEyes Context triple: [Friedrich Loewenberg, depictsThroughEyes, transformation of the Jewish homeland]
-
A.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
B.
portrayedFromPerspectiveOf
chosen
Indicates that something is depicted or represented as seen from the viewpoint or subjective perspective of a particular entity.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
E.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:13 p.m.