Triple
T27373011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talisa Soto |
E690378
|
entity |
| Predicate | modeledForMagazine |
P84334
|
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: [Talisa Soto, modeledForMagazine, Vogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeledForMagazine Context triple: [Talisa Soto, modeledForMagazine, Vogue]
-
A.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
B.
hasPhotographedFor
Indicates that one entity has taken photographs on behalf of, or as a service for, another entity.
-
C.
relationshipToMagazine
chosen
Indicates the type of connection or association an entity has with a particular magazine, such as authorship, editorship, or other defined roles or links.
-
D.
magazineRelease
Indicates the event or relationship in which a magazine is issued or made publicly available on a particular date or through a specific channel.
-
E.
modeledBy
Indicates that one entity serves as a model or representation of another, typically capturing its structure, behavior, or properties.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62c63cfa88190a6f188ba8a63e809 |
completed | May 2, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:19 p.m.