Triple
T13748544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKKN by Kim |
E330279
|
entity |
| Predicate | celebrityBrand |
P74841
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SKKN by Kim, celebrityBrand, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: celebrityBrand Context triple: [SKKN by Kim, celebrityBrand, true]
-
A.
fashionBrandEndorsement
Indicates a relationship where a fashion brand formally supports, promotes, or is publicly associated with an entity (such as a person, product, or event) as an endorser.
-
B.
brandEndorsement
chosen
Indicates that one entity publicly supports, recommends, or promotes another entity’s brand, product, or service.
-
C.
sponsorshipBrand
Indicates that one entity serves as a sponsoring brand for another entity, typically providing support, funding, or endorsement.
-
D.
famousModel
Indicates that the subject is a well-known or widely recognized model.
-
E.
favoriteBrand
Indicates that one entity is the preferred or most liked brand 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.