Triple
T15998306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimono (shapewear brand) |
E388030
|
entity |
| Predicate | successorBrand |
P6643
|
FINISHED |
| Object | SKIMS |
E83327
|
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: SKIMS | Statement: [Kimono (shapewear brand), successorBrand, SKIMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKIMS Context triple: [Kimono (shapewear brand), successorBrand, SKIMS]
-
A.
SKIMS
chosen
SKIMS is Kim Kardashian’s shapewear and loungewear brand known for its inclusive sizing, neutral tones, and body-contouring designs.
-
B.
Capris
Capris is the ancient Latin name for the coastal city now known as Koper, located on the Adriatic Sea in present-day Slovenia.
-
C.
MVMT
MVMT is a contemporary watch and accessories brand known for its minimalist designs, direct-to-consumer online sales model, and affordable pricing aimed at younger consumers.
-
D.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
-
E.
Mycoskie
Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157893ebc8190acb75ee05e450fae |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb84979c8190b9f8d5a78b1cc880 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.