Triple
T17679485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ming Lee Simmons |
E440728
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Baby Phat |
—
|
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: Baby Phat | Statement: [Ming Lee Simmons, hasModeledFor, Baby Phat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Phat Context triple: [Ming Lee Simmons, hasModeledFor, Baby Phat]
-
A.
Baby Phat
chosen
Baby Phat is a fashion brand best known for its early-2000s streetwear and glamorous, hip-hop-inspired women’s apparel and accessories.
-
B.
Juicy Couture
Juicy Couture is an American fashion brand best known for its velour tracksuits and glamorous, casual lifestyle apparel and accessories.
-
C.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
D.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
E.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704357b8819087e3a93e9eefd858 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:01 a.m.