Triple
T2643719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairy Godmother |
E62936
|
entity |
| Predicate | usesMagicFor |
P41007
|
FINISHED |
| Object | helping Cinderella |
—
|
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: helping Cinderella | Statement: [Fairy Godmother, usesMagicFor, helping Cinderella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMagicFor Context triple: [Fairy Godmother, usesMagicFor, helping Cinderella]
-
A.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
spells
Indicates that one entity writes or names the letters of a word or sequence in their correct order for another entity or context.
-
C.
notableSpell
Indicates that a particular spell is especially significant, famous, or noteworthy in some context.
-
D.
hasRitualFocus
Indicates that an entity is associated with or directed toward a particular object, practice, or element that serves as the central focus of a ritual.
-
E.
usedOrb
Indicates that an entity made use of or employed an orb to perform an action or achieve some effect.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd90046dc81908bab3440733f1e98 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.