Triple
T33855573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gladys Mitchell |
E867762
|
entity |
| Predicate | hasWritingStyleElement |
P1609
|
FINISHED |
| Object | psychological themes |
—
|
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: psychological themes | Statement: [Gladys Mitchell, hasWritingStyleElement, psychological themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWritingStyleElement Context triple: [Gladys Mitchell, hasWritingStyleElement, psychological themes]
-
A.
hasWritingType
Indicates that one entity is associated with, or characterized by, a particular type or form of writing.
-
B.
hasStructuralStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
-
C.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
D.
hasEditorialStyle
Indicates that one entity possesses, applies, or is characterized by a particular editorial style defined by another entity.
-
E.
hasWritingSystemProperty
Indicates that a writing system possesses a specific characteristic, feature, or attribute.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70077947c81908ad28b9185094cf4 |
completed | May 3, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.