Triple
T10047719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candice Swanepoel |
E207658
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Juicy Couture |
E539227
|
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: Juicy Couture | Statement: [Candice Swanepoel, hasModeledFor, Juicy Couture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juicy Couture Context triple: [Candice Swanepoel, hasModeledFor, Juicy Couture]
-
A.
Juicy Couture
chosen
Juicy Couture is an American fashion brand best known for its velour tracksuits and glamorous, casual lifestyle apparel and accessories.
-
B.
Baby Phat
Baby Phat is a fashion brand best known for its early-2000s streetwear and glamorous, hip-hop-inspired women’s apparel and accessories.
-
C.
Moschino
Moschino is an Italian luxury fashion house known for its playful, irreverent designs and bold, pop-culture-inspired aesthetic.
-
D.
Liu Jo
Liu Jo is an Italian fashion brand known for its contemporary women’s clothing, denim, and accessories.
-
E.
Calvin Klein
Calvin Klein is an American fashion brand renowned for its minimalist aesthetic, iconic underwear and denim lines, and influential advertising campaigns.
- 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_69d2828f3980819083d041f09e63d8e6 |
completed | April 5, 2026, 3:41 p.m. |
Created at: March 30, 2026, 8:56 p.m.