Triple
T26875942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugu the Shoemaker |
E676746
|
entity |
| Predicate | sourceOfMagic |
P61281
|
FINISHED |
| Object | magical tools and books taken from others |
—
|
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: magical tools and books taken from others | Statement: [Ugu the Shoemaker, sourceOfMagic, magical tools and books taken from others]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfMagic Context triple: [Ugu the Shoemaker, sourceOfMagic, magical tools and books taken from others]
-
A.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
sourceOfPower
chosen
Indicates that one entity serves as the origin or provider of power, energy, or authority for another entity.
-
C.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
D.
usesMagicFor
Indicates that one entity employs or applies magic as a means to achieve, affect, or perform something involving another entity or context.
-
E.
enchantedBy
Indicates that one entity has cast or holds a magical enchantment over another entity.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f1855488190b68b43c3e319f7b5 |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:36 a.m.