Triple
T23615087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden |
E583151
|
entity |
| Predicate | stylisticShiftFor |
P21658
|
FINISHED |
| Object | Kylie Minogue |
—
|
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: Kylie Minogue | Statement: [Golden, stylisticShiftFor, Kylie Minogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylisticShiftFor Context triple: [Golden, stylisticShiftFor, Kylie Minogue]
-
A.
stylisticShiftDirection
Indicates the direction or nature of a change in style from one state, work, or expression to another.
-
B.
marksStylisticShiftFrom
chosen
Indicates that one element signals a change in style, tone, or manner relative to another element.
-
C.
stylisticEffect
Indicates the relationship where one element produces, contributes to, or embodies a particular stylistic impact or impression on another.
-
D.
stylisticFocus
Indicates a relationship where something is primarily concerned with, emphasizes, or is characterized by a particular style or set of stylistic features.
-
E.
stylisticElement
Indicates a relationship where one entity functions as a stylistic feature, device, or characteristic that shapes the expressive or aesthetic quality of another entity.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f71a2481909c3d0d8d0d58e20f |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.