Triple
T32280236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American (wizarding world) |
E824668
|
entity |
| Predicate | hasWandMakers |
P50339
|
FINISHED |
| Object | various American wandmakers (not fully named in canon) |
—
|
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: various American wandmakers (not fully named in canon) | Statement: [American (wizarding world), hasWandMakers, various American wandmakers (not fully named in canon)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWandMakers Context triple: [American (wizarding world), hasWandMakers, various American wandmakers (not fully named in canon)]
-
A.
usesWand
Indicates that one entity performs an action or carries out activities by means of a wand.
-
B.
hasCraft
Indicates a relationship where an entity possesses, operates, or is associated with a particular vehicle, vessel, or other craft.
-
C.
hasNumberOfWizards
Indicates the quantity of wizards associated with a given entity.
-
D.
hasCraftsmanGod
Indicates that an entity has an associated deity specifically responsible for craftsmanship or artisan skills.
-
E.
hasCraftsman
chosen
Indicates that one entity serves as the craftsman, maker, or artisan responsible for creating, building, or crafting 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 1, 2026, 12:43 a.m.