Triple
T32901596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unpolitische Erinnerungen |
E841625
|
entity |
| Predicate | hasAuthorialSelfReflection |
P157765
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Unpolitische Erinnerungen, hasAuthorialSelfReflection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorialSelfReflection Context triple: [Unpolitische Erinnerungen, hasAuthorialSelfReflection, true]
-
A.
selfReferenceOfAuthor
Indicates that an author is making a reference to themselves within a work or context.
-
B.
hasAutobiographicalSubject
Indicates that something (such as a work, text, or narrative) has a subject that is the author or creator’s own life or personal experiences.
-
C.
reflectsInterestOfAuthorIn
Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
-
D.
hasAuthorialIntrusion
chosen
Indicates that a narrative includes direct commentary or intervention by the author, stepping outside the story to address or influence the reader.
-
E.
isConceptuallyReflective
Indicates that one entity mirrors, represents, or echoes the ideas, structure, or meaning of another at a conceptual level.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 1:19 a.m.