Triple
T13719208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenner family |
E328980
|
entity |
| Predicate | business |
P12567
|
FINISHED |
| Object | Kylie Skin |
E330280
|
NE 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: Kylie Skin | Statement: [Jenner family, business, Kylie Skin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kylie Skin Context triple: [Jenner family, business, Kylie Skin]
-
A.
Kylie Skin
chosen
Kylie Skin is a skincare line founded by Kylie Jenner offering a range of cleansers, moisturizers, and related beauty products.
-
B.
Kylie Cosmetics
Kylie Cosmetics is a makeup and beauty brand founded by Kylie Jenner, known for its trend-setting lip kits and social media–driven marketing.
-
C.
Kylie
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
D.
Blush
Blush is the debut studio album by American actress and singer-songwriter Maya Hawke, showcasing her introspective indie-folk sound.
-
E.
Demi
Demi is a fictional character from Louisa May Alcott’s novel "Jo's Boys," part of the continuation of the March family saga begun in "Little Women."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5c4f848190993f829824eabbef |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.