Triple
T2854179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella (Charles Perrault fairy tale) |
E63160
|
entity |
| Predicate | AarneThompsonUtherType |
P5753
|
FINISHED |
| Object | ATU 510A |
—
|
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: ATU 510A | Statement: [Cinderella (Charles Perrault fairy tale), AarneThompsonUtherType, ATU 510A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AarneThompsonUtherType Context triple: [Cinderella (Charles Perrault fairy tale), AarneThompsonUtherType, ATU 510A]
-
A.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
B.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
C.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
D.
typology
chosen
Indicates a classification relationship in which entities are grouped or organized according to shared types, patterns, or structural characteristics.
-
E.
typeOfMythologicalGroup
Indicates that one entity is classified as a specific kind or category of mythological group to which the other entity belongs.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5f21348190a574fa86bc71c76f |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.