Triple
T37464755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malygos, Aspect of Magic |
E931005
|
entity |
| Predicate | spellSchoolTheme |
P19914
|
FINISHED |
| Object | Arcane |
—
|
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: Arcane | Statement: [Malygos, Aspect of Magic, spellSchoolTheme, Arcane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spellSchoolTheme Context triple: [Malygos, Aspect of Magic, spellSchoolTheme, Arcane]
-
A.
spellSpecialty
Indicates that an entity’s area of expertise or focus is a particular type or category of spell.
-
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.
typeOfMagic
chosen
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
D.
languageOfIncantation
Indicates that a specified language is the one in which a particular incantation is spoken or written.
-
E.
spellsTitleWithSymbol
Indicates that an entity writes or displays a title using a non-alphabetic symbol or special character as part of its spelling.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.