Triple
T28670391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Order of Charlotte’s Going |
E725701
|
entity |
| Predicate | authorStyleCharacteristic |
P27486
|
FINISHED |
| Object | quietly disturbing portrayal of normalcy |
—
|
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: quietly disturbing portrayal of normalcy | Statement: [The Order of Charlotte’s Going, authorStyleCharacteristic, quietly disturbing portrayal of normalcy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorStyleCharacteristic Context triple: [The Order of Charlotte’s Going, authorStyleCharacteristic, quietly disturbing portrayal of normalcy]
-
A.
authorStyle
chosen
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
B.
authorOfStyle
Indicates that an entity is the creator or originator of a particular style, method, or artistic approach.
-
C.
characterStyle
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
-
D.
hasAuthorCharacteristic
Indicates that an author possesses a particular attribute, trait, or quality.
-
E.
stylisticUniqueness
Indicates that one entity possesses a distinctive style or manner that sets it apart from others.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 28, 2026, 5:03 a.m.