Triple
T17439970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yomi Martin |
E424121
|
entity |
| Predicate | brandTypeCoFounded |
P32084
|
FINISHED |
| Object | urban fashion brand |
—
|
LITERAL 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: urban fashion brand | Statement: [Yomi Martin, brandTypeCoFounded, urban fashion brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandTypeCoFounded Context triple: [Yomi Martin, brandTypeCoFounded, urban fashion brand]
-
A.
companyFoundedWith
Indicates that a company was established using or in association with a particular resource, organization, or founding context.
-
B.
foundedByCoFounderOf
Indicates that an entity was founded by a person who is also a co-founder of another entity.
-
C.
coFoundedInYear
Indicates that two or more entities jointly founded something (such as an organization or company) in a specified year.
-
D.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
E.
brandFounded
chosen
Indicates that a specific brand was established or created at a particular point in time or by a particular founder or entity.
- F. None of above.
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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.