Triple
T25201465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanji Tatsumi |
E631134
|
entity |
| Predicate | arcana |
P61131
|
FINISHED |
| Object | Emperor Arcana |
—
|
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: Emperor Arcana | Statement: [Kanji Tatsumi, arcana, Emperor Arcana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arcana Context triple: [Kanji Tatsumi, arcana, Emperor Arcana]
-
A.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
spells
Indicates that one entity writes or names the letters of a word or sequence in their correct order for another entity or context.
-
C.
associatedMystic
chosen
Indicates a relationship where one entity is linked or connected to another through a mystical, spiritual, or esoteric association.
-
D.
enchantment
Indicates that one entity has placed a magical or supernatural influence on another, altering its state, behavior, or properties.
-
E.
mysticalTheme
Indicates that the subject is associated with or characterized by mystical, supernatural, or esoteric themes.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b5e4408190b726bbd038fa3862 |
completed | May 1, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:51 p.m.