Triple
T35739368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galip |
E1032988
|
entity |
| Predicate | closelyConnectedToMotif |
P134310
|
FINISHED |
| Object | doubling and substitution of identities |
—
|
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: doubling and substitution of identities | Statement: [Galip, closelyConnectedToMotif, doubling and substitution of identities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closelyConnectedToMotif Context triple: [Galip, closelyConnectedToMotif, doubling and substitution of identities]
-
A.
commonMotifRegion
Indicates that two or more entities share a recurring motif within the same spatial or contextual region.
-
B.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
C.
hasClosingMotif
Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
-
D.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
E.
transformationMotif
chosen
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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:05 p.m.