Triple
T30890925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three Spinners |
E786893
|
entity |
| Predicate | relatedMotifCluster |
P33019
|
FINISHED |
| Object | spinning tales in European folklore |
—
|
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: spinning tales in European folklore | Statement: [The Three Spinners, relatedMotifCluster, spinning tales in European folklore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedMotifCluster Context triple: [The Three Spinners, relatedMotifCluster, spinning tales in European folklore]
-
A.
commonMotifRegion
Indicates that two or more entities share a recurring motif within the same spatial or contextual region.
-
B.
sharesMotifsWith
chosen
Indicates that two entities contain or employ similar recurring themes, patterns, or symbolic elements.
-
C.
relatedPattern
Indicates that one entity is associated with or connected to another through a shared or corresponding pattern.
-
D.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
E.
transformationMotif
Indicates a recurring pattern or theme in which one entity undergoes a change in form, state, or identity in relation to another.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:49 p.m.