Triple
T32166428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanel Iman |
E821595
|
entity |
| Predicate | hasModeledForMagazine |
P163102
|
FINISHED |
| Object | Vogue |
—
|
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: Vogue | Statement: [Chanel Iman, hasModeledForMagazine, Vogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModeledForMagazine Context triple: [Chanel Iman, hasModeledForMagazine, Vogue]
-
A.
modeledForMagazine
chosen
Indicates that an entity posed as a model specifically for a magazine publication.
-
B.
appearsInMagazine
Indicates that an entity is featured, mentioned, or otherwise present within a particular magazine.
-
C.
hasBeenOnCoverOf
Indicates that an entity has appeared on the front cover of a specified publication or media outlet.
-
D.
hasModelledFor
Indicates that one entity has served as a model for another entity, typically in a professional or representational context such as art, photography, or fashion.
-
E.
ownedMagazine
Indicates that one entity possessed or held ownership of a particular magazine.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 12:33 a.m.