Triple
T8839511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Vreeland |
E210351
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Diana Vreeland |
E210351
|
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: Diana Vreeland | Statement: [Diana Vreeland, fullName, Diana Vreeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Vreeland Context triple: [Diana Vreeland, fullName, Diana Vreeland]
-
A.
Diana Vreeland
chosen
Diana Vreeland was a legendary fashion editor and style icon who shaped 20th-century fashion through her influential work at major magazines and as a consultant to the Metropolitan Museum of Art’s Costume Institute.
-
B.
Annette de la Renta
Annette de la Renta is a New York–based socialite and philanthropist known for her prominent role in high society and as the widow of fashion designer Oscar de la Renta.
-
C.
Nora Wintour
Nora Wintour is a British trade union and labor rights activist known for her work with international labor organizations and campaigns to improve workers’ conditions worldwide.
-
D.
Anna Wintour
Anna Wintour is the influential longtime editor-in-chief of Vogue and a powerful figure in the global fashion industry.
-
E.
Lillian Goldman
Lillian Goldman was a philanthropist and major benefactor of legal education and libraries, notably supporting Yale Law School.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60849f8c8190b7735defecf55a5d |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89933e8c81909672bcec70f7d5ce |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.