Triple
T28930007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SD Snatcher |
E733753
|
entity |
| Predicate | hasCharacterDesignStyle |
P144679
|
FINISHED |
| Object | chibi |
—
|
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: chibi | Statement: [SD Snatcher, hasCharacterDesignStyle, chibi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterDesignStyle Context triple: [SD Snatcher, hasCharacterDesignStyle, chibi]
-
A.
costumeDesignStyle
Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
-
B.
hasComicStyle
Indicates that one entity is characterized by, presented in, or associated with a particular comic or cartoon-like visual style defined by the other entity.
-
C.
hasStyleCharacteristics
chosen
Indicates that one entity exhibits or embodies the stylistic features, traits, or qualities associated with another entity.
-
D.
productionDesignStyle
Indicates the visual and aesthetic approach used in designing the overall look and environment of a production.
-
E.
characterDesigner
Indicates a relationship where an entity is responsible for designing or creating the visual or conceptual characteristics of a character.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 8:27 a.m.