Triple
T13511127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariana Dumbledore |
E321140
|
entity |
| Predicate | magicalAbility |
P62729
|
FINISHED |
| Object | Obscurial-like uncontrolled 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: Obscurial-like uncontrolled magic | Statement: [Ariana Dumbledore, magicalAbility, Obscurial-like uncontrolled magic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magicalAbility Context triple: [Ariana Dumbledore, magicalAbility, Obscurial-like uncontrolled magic]
-
A.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
C.
magicalStatus
chosen
Indicates that an entity possesses, is affected by, or is characterized in terms of a particular magical condition or property.
-
D.
spellSpecialty
Indicates that an entity’s area of expertise or focus is a particular type or category of spell.
-
E.
notablePower
Indicates that an entity possesses a significant or distinguished form of power, influence, or capability that is recognized as noteworthy.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.