Triple
T10047713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candice Swanepoel |
E207658
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Jason Wu |
E836680
|
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: Jason Wu | Statement: [Candice Swanepoel, hasModeledFor, Jason Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Wu Context triple: [Candice Swanepoel, hasModeledFor, Jason Wu]
-
A.
Jason Wu
chosen
Jason Wu is a Taiwanese-Canadian fashion designer renowned for his elegant, modern womenswear and for dressing high-profile figures including former U.S. First Lady Michelle Obama.
-
B.
Alexander Wang
Alexander Wang is an American fashion designer known for his edgy, minimalist aesthetic and influential work at his eponymous label and as former creative director of Balenciaga.
-
C.
Guo Pei
Guo Pei is a renowned Chinese haute couture fashion designer celebrated globally for her elaborate, sculptural gowns and fusion of traditional Chinese craftsmanship with contemporary luxury.
-
D.
Vera Wang
Vera Wang is an American fashion designer renowned for her luxury bridal gowns and influential eveningwear collections.
-
E.
Alexandr Wang
Alexandr Wang is an American entrepreneur best known as the co-founder and CEO of AI data company Scale AI.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a4064a48190b4fdb6bf3ea5af05 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:56 p.m.