Triple
T32298441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Stöhr |
E825164
|
entity |
| Predicate | typeOfWriter |
P93281
|
FINISHED |
| Object | prose writer |
—
|
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: prose writer | Statement: [Ernst Stöhr, typeOfWriter, prose writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWriter Context triple: [Ernst Stöhr, typeOfWriter, prose writer]
-
A.
defaultWriterType
Indicates the standard or preselected type/category of writer that should be used when none is explicitly specified.
-
B.
hasWritingType
chosen
Indicates that one entity is associated with, or characterized by, a particular type or form of writing.
-
C.
supportedWriter
Indicates that one entity provided support or backing to a writer, such as financial, logistical, or promotional assistance.
-
D.
writTypes
Indicates the types or categories of writs (formal written legal orders) associated with an action or entity.
-
E.
reporterType
Indicates the specific role or category of reporter associated with an entity or event.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
Created at: May 1, 2026, 12:44 a.m.