Triple
T20210250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patronus Charm |
E493469
|
entity |
| Predicate | corporealPatronusDescription |
P139202
|
FINISHED |
| Object | takes the form of a silver animal |
—
|
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: takes the form of a silver animal | Statement: [Patronus Charm, corporealPatronusDescription, takes the form of a silver animal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corporealPatronusDescription Context triple: [Patronus Charm, corporealPatronusDescription, takes the form of a silver animal]
-
A.
patronusAbility
Indicates the ability of an entity to produce or use a Patronus (a protective magical manifestation) in relation to another entity or context.
-
B.
patronus
Indicates that one entity serves as a protective guardian or spiritual defender for another entity.
-
C.
animagus
Indicates a transformative relationship where a wizard or witch can voluntarily change into a specific animal form and back again.
-
D.
monsterCharacteristic
Indicates that a monster possesses a particular attribute, trait, or quality.
-
E.
animagusForm
Indicates that one entity is the specific animal form into which the other entity can transform as an Animagus.
- F. None of above. chosen
Provenance (4 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed4706c81908a5e4a3023a9c22f |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:38 p.m.