Triple
T34863400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altmer |
E1004943
|
entity |
| Predicate | magicalAffinity |
P139045
|
FINISHED |
| Object | high aptitude for magic |
—
|
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: high aptitude for magic | Statement: [Altmer, magicalAffinity, high aptitude for magic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magicalAffinity Context triple: [Altmer, magicalAffinity, high aptitude for magic]
-
A.
magicAffinity
chosen
Indicates a relationship where an entity possesses a natural connection to, talent for, or compatibility with magical forces or energies.
-
B.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
C.
magicalStatus
Indicates that an entity possesses, is affected by, or is characterized in terms of a particular magical condition or property.
-
D.
relationshipWithMagic
Indicates a connection or interaction an entity has with magic, such as using, being affected by, or being inherently tied to magical forces.
-
E.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.