Triple
T23964974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Not as Mine (reprise) |
E604047
|
entity |
| Predicate | revisitsMotifsFrom |
P31989
|
FINISHED |
| Object | Not as Mine |
—
|
NE NERFINISHED |
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: Not as Mine | Statement: [Not as Mine (reprise), revisitsMotifsFrom, Not as Mine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisitsMotifsFrom Context triple: [Not as Mine (reprise), revisitsMotifsFrom, Not as Mine]
-
A.
usesMotifsFrom
chosen
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
B.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
C.
transformationMotif
Indicates a recurring pattern or theme in which one entity undergoes a change in form, state, or identity in relation to another.
-
D.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
E.
commonMotifRegion
Indicates that two or more entities share a recurring motif within the same spatial or contextual region.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1d7077881909d4774b7040cd722 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:24 p.m.