Triple
T16250379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie |
E394486
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Seventeen magazine |
E100645
|
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: Seventeen magazine | Statement: [Cassie, hasModeledFor, Seventeen magazine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seventeen magazine Context triple: [Cassie, hasModeledFor, Seventeen magazine]
-
A.
Seventeen magazine
chosen
Seventeen magazine is a long-running American teen magazine focused on fashion, beauty, relationships, and lifestyle content for young women.
-
B.
Blush magazine
Blush magazine is the fictional New York fashion magazine that serves as the primary workplace setting in the sitcom "Just Shoot Me!".
-
C.
Allure magazine
Allure magazine is an American women’s beauty and lifestyle publication known for its coverage of cosmetics, skincare, fashion, and celebrity culture.
-
D.
Cosmopolitan magazine
Cosmopolitan magazine is a long-running American monthly publication best known for its focus on fashion, relationships, and lifestyle topics, particularly aimed at young women.
-
E.
Ms. Magazine
Ms. Magazine is a pioneering American feminist magazine founded in the early 1970s that became a leading voice of the women’s liberation movement.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459606f88190a53905186f7f73be |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee568a48190835ce76f84461044 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.