Triple
T13227726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swatch |
E314924
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Swatch Skin |
E314924
|
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: Swatch Skin | Statement: [Swatch, hasBrand, Swatch Skin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swatch Skin Context triple: [Swatch, hasBrand, Swatch Skin]
-
A.
Swatch
chosen
Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
-
B.
Element Six
Element Six is a De Beers–owned company that specializes in the development and production of synthetic diamond materials for industrial and high-tech applications.
-
C.
Chopard Happy Sport
Chopard Happy Sport is a luxury Swiss watch collection renowned for its playful design featuring freely moving diamonds between two sapphire crystals.
-
D.
Kylie Skin
Kylie Skin is a skincare line founded by Kylie Jenner offering a range of cleansers, moisturizers, and related beauty products.
-
E.
Skagen
Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:21 p.m.