Triple
T17726565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimora Lee Simmons |
E442475
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Phat Fashions |
—
|
NE NERFINISHED |
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: Phat Fashions | Statement: [Kimora Lee Simmons, associatedWith, Phat Fashions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phat Fashions Context triple: [Kimora Lee Simmons, associatedWith, Phat Fashions]
-
A.
Phat Girlz
Phat Girlz is a 2006 comedy film starring Mo'Nique that centers on plus-size women challenging beauty standards and finding self-acceptance and love.
-
B.
Phat Fashions LLC
chosen
Phat Fashions LLC is a clothing company best known for its Phat Farm urban streetwear brand that helped popularize hip-hop fashion in the 1990s and 2000s.
-
C.
Phat Farm
Phat Farm is a pioneering urban fashion and lifestyle brand that helped popularize hip-hop-influenced streetwear in mainstream American culture.
-
D.
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.
-
E.
Pashons
Pashons is the ninth month of the Coptic calendar, traditionally associated with the harvest season in Egypt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e25a80819096289fba4ecb227f |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.