Triple
T11232613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karintha |
E265860
|
entity |
| Predicate | styleContext |
P97968
|
FINISHED |
| Object | lyric prose |
—
|
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: lyric prose | Statement: [Karintha, styleContext, lyric prose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleContext Context triple: [Karintha, styleContext, lyric prose]
-
A.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
B.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
C.
styleLanguage
Indicates a relationship where one entity specifies the language or linguistic style in which another entity is expressed, formatted, or presented.
-
D.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
E.
styledAs
Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
- F. None of above. chosen
Provenance (4 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfdf7a88190aae21572e57ef208 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.