Triple
T34792218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donkeyskin |
E1002976
|
entity |
| Predicate | relatedFairyTale |
—
|
GENERATED |
| Object | Cinderella |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedFairyTale Context triple: [Donkeyskin, relatedFairyTale, Cinderella]
-
A.
associatedTale
Indicates that one entity is linked or connected to a particular tale, story, or narrative.
-
B.
relatedToInFiction
chosen
Indicates that one entity is connected to another within a fictional context, such as a story, universe, or narrative work.
-
C.
originalStories
Indicates that one entity is the creator or source of the original stories associated with another entity.
-
D.
alsoRelatedParable
Indicates that one parable is additionally related to another parable beyond the primary or most obvious connection.
-
E.
hasFolkTaleType
Indicates that an entity (such as a story) is classified as belonging to a particular folk tale type or category.
- F. None of above.
Provenance (1 batch)
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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.