Triple
T23970320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stylish Star |
E604209
|
entity |
| Predicate | associatedWithPersonaAspect |
P112715
|
FINISHED |
| Object | style icon image |
—
|
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: style icon image | Statement: [Stylish Star, associatedWithPersonaAspect, style icon image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPersonaAspect Context triple: [Stylish Star, associatedWithPersonaAspect, style icon image]
-
A.
associatedWithPersonaTrait
chosen
Indicates that an entity is linked to or characterized by a particular persona trait or attribute.
-
B.
associatedPerformerPersona
Indicates a relationship where a performer is linked to a specific persona or role identity they adopt in their performances.
-
C.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
-
D.
associatedWithSubject
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
-
E.
associatedWithFameAspect
Indicates that an entity is connected to or characterized by a particular aspect or dimension of fame.
- 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_69f1d1db392c8190a1044b75b898243a |
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, 9:25 p.m.