Triple
T32721431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Marant |
E836682
|
entity |
| Predicate | hasMenswearLine |
P175632
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Isabel Marant, hasMenswearLine, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMenswearLine Context triple: [Isabel Marant, hasMenswearLine, yes]
-
A.
hasClothingLine
chosen
Indicates that an entity owns, produces, or is associated with a specific line or brand of clothing.
-
B.
hasGarment
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
C.
hasFashionSection
Indicates that something (such as a publication, website, or store) includes a dedicated section or area focused on fashion-related content or products.
-
D.
hasFragranceLine
Indicates that one entity (typically a brand or company) offers or is associated with a particular line or collection of fragrances.
-
E.
garmentType
Indicates the specific kind or category of garment associated with an 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 1, 2026, 1:11 a.m.