Triple
T7651282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerstin Ekman |
E173256
|
entity |
| Predicate | writing style |
P27486
|
FINISHED |
| Object | psychologically rich fiction |
—
|
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: psychologically rich fiction | Statement: [Kerstin Ekman, writing style, psychologically rich fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writing style Context triple: [Kerstin Ekman, writing style, psychologically rich fiction]
-
A.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
B.
narrativeStyle
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
C.
authorStyle
chosen
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
D.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
-
E.
writingComponent
Indicates that one entity is a written part or element that contributes to the composition or structure of 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:58 p.m.