Triple
T32742394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Trunkene im Frühling |
E837250
|
entity |
| Predicate | poetryAdaptedBy |
P145914
|
FINISHED |
| Object | Hans Bethge |
—
|
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: Hans Bethge | Statement: [Der Trunkene im Frühling, poetryAdaptedBy, Hans Bethge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poetryAdaptedBy Context triple: [Der Trunkene im Frühling, poetryAdaptedBy, Hans Bethge]
-
A.
lyricAdaptationBy
chosen
Indicates that the lyrics of a work have been adapted, modified, or reinterpreted by a specified agent or creator.
-
B.
exemplifiedByPoet
Indicates that something is characteristically or ideally represented by a particular poet.
-
C.
lyricsAdaptedFrom
Indicates that the lyrics of one work are derived, adapted, or modified from the lyrics of another pre-existing work.
-
D.
poeticParaphrasedIn
Indicates that one expression is rendered as a poetic or stylistically embellished paraphrase of another expression.
-
E.
poem
Indicates that one entity is a poem created, authored, or associated with another 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:12 a.m.