Triple
T17246149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Upton |
E418629
|
entity |
| Predicate | modeledForBrand |
P17880
|
FINISHED |
| Object | Beach Bunny Swimwear |
E477100
|
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: Beach Bunny Swimwear | Statement: [Kate Upton, modeledForBrand, Beach Bunny Swimwear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beach Bunny Swimwear Context triple: [Kate Upton, modeledForBrand, Beach Bunny Swimwear]
-
A.
Beach Bunny Swimwear
chosen
Beach Bunny Swimwear is a fashion brand known for its bold, luxury swimwear often featured in high-profile modeling campaigns and magazines.
-
B.
Catalina Swimwear
Catalina Swimwear is an American swimwear brand best known for its influential mid-20th-century designs and long association with major beauty pageants and beach culture.
-
C.
Billabong
Billabong is an Australian surfwear and lifestyle brand known for its boardshorts, swimwear, and beach-oriented apparel.
-
D.
Reiss
Reiss is a German-language surname borne by various notable individuals across fields such as mountaineering, arts, and academia.
-
E.
Volcom
Volcom is an American lifestyle brand known for its skate, surf, and snowboarding apparel and accessories.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e23b8948190870d0e6b4e55b4e3 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f5582c81908efb7a369a096aeb |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.