Triple
T32915060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ein bürgerliches Trauerspiel |
E841984
|
entity |
| Predicate | describesGenreOf |
P54453
|
FINISHED |
| Object | Kabale und Liebe |
—
|
NE NERFINISHED |
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: Kabale und Liebe | Statement: [Ein bürgerliches Trauerspiel, describesGenreOf, Kabale und Liebe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesGenreOf Context triple: [Ein bürgerliches Trauerspiel, describesGenreOf, Kabale und Liebe]
-
A.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
-
B.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
-
C.
commonGenre
chosen
Indicates that two entities share at least one genre in common.
-
D.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:19 a.m.