Triple
T26757971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exilliteratur |
E674724
|
entity |
| Predicate | wichtigeAutoren |
P12787
|
FINISHED |
| Object | Anna Seghers |
—
|
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: Anna Seghers | Statement: [Exilliteratur, wichtigeAutoren, Anna Seghers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wichtigeAutoren Context triple: [Exilliteratur, wichtigeAutoren, Anna Seghers]
-
A.
bookAuthors
Indicates the relationship between a book and the person or people who authored it.
-
B.
importantAuthor
chosen
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
-
C.
notableAuthorConcept
Indicates that an author is notably associated with, influential in, or prominently recognized for work related to a particular concept.
-
D.
notableAuthorInLanguage
Indicates that a person is a particularly prominent or distinguished author who writes in the specified language.
-
E.
famousWriterAssociated
Indicates a relationship where a well-known or renowned writer is connected or linked to a particular entity (such as a work, place, event, or organization).
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 3:56 a.m.