Triple
T23304290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Knight |
E590389
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object | W magazine |
E762168
|
NE 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: W magazine | Statement: [Nick Knight, hasWorkedFor, W magazine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W magazine Context triple: [Nick Knight, hasWorkedFor, W magazine]
-
A.
W Magazine
chosen
W Magazine is an American fashion and culture magazine known for its high-end photography, avant-garde editorials, and in-depth coverage of style, art, and celebrity.
-
B.
V Magazine
V Magazine is a high-fashion, culture, and lifestyle magazine known for its cutting-edge photography, celebrity features, and trendsetting editorial content.
-
C.
You magazine
You magazine is a lifestyle and features supplement published with the UK’s Mail on Sunday, covering fashion, beauty, celebrity interviews, and real-life stories.
-
D.
Runway magazine
Runway magazine is the fictional high-fashion magazine in "The Devil Wears Prada," modeled on influential publications like Vogue and serving as the story’s glamorous yet cutthroat workplace backdrop.
-
E.
WWD
WWD is a long-running fashion-industry trade publication known for its coverage of trends, designers, and the global apparel business.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19725b248819089e61efb82e3440f |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9934ec819094ebbe6e61d18ab7 |
completed | May 19, 2026, 11:42 a.m. |
Created at: April 17, 2026, 5:04 p.m.