Triple
T32742334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Einsame im Herbst |
E837248
|
entity |
| Predicate | relatedThemeInCycle |
P205150
|
FINISHED |
| Object | mortality |
—
|
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: mortality | Statement: [Der Einsame im Herbst, relatedThemeInCycle, mortality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedThemeInCycle Context triple: [Der Einsame im Herbst, relatedThemeInCycle, mortality]
-
A.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
B.
relatedPattern
Indicates that one entity is associated with or connected to another through a shared or corresponding pattern.
-
C.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
D.
associatedEpicCycle
Indicates that one entity is linked to, or forms part of, a particular epic cycle within a larger narrative or project structure.
-
E.
moreCloselyRelatedTo
Indicates that one entity has a stronger or closer relationship, connection, or similarity to a second entity than to some other reference entity.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:12 a.m.