Triple
T36412871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magical Me |
E896927
|
entity |
| Predicate | usedForClass |
P98
|
FINISHED |
| Object | Defence Against the Dark Arts |
—
|
NE NERFINISHED |
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: Defence Against the Dark Arts | Statement: [Magical Me, usedForClass, Defence Against the Dark Arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForClass Context triple: [Magical Me, usedForClass, Defence Against the Dark Arts]
-
A.
usedByClass
Indicates that something (such as a resource, method, or component) is utilized or depended upon by a particular class.
-
B.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
C.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
D.
usedToClassify
Indicates that one entity serves as a criterion or basis for categorizing or grouping another entity.
-
E.
usedByFor
Indicates that one entity makes use of another entity for a specific purpose or function.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 3, 2026, 4:10 p.m.