Triple
T19217593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo Pei |
E480526
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Guo Pei |
—
|
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: Guo Pei | Statement: [Guo Pei, name, Guo Pei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guo Pei Context triple: [Guo Pei, name, Guo Pei]
-
A.
Guo Pei
chosen
Guo Pei is a renowned Chinese haute couture fashion designer celebrated globally for her elaborate, sculptural gowns and fusion of traditional Chinese craftsmanship with contemporary luxury.
-
B.
Jason Wu
Jason Wu is a Taiwanese-Canadian fashion designer renowned for his elegant, modern womenswear and for dressing high-profile figures including former U.S. First Lady Michelle Obama.
-
C.
Vera Wang
Vera Wang is an American fashion designer renowned for her luxury bridal gowns and influential eveningwear collections.
-
D.
Christian Siriano
Christian Siriano is an American fashion designer known for winning "Project Runway" and for his inclusive, red-carpet–focused couture.
-
E.
Anna Sui
Anna Sui is an American fashion designer renowned for her eclectic, vintage-inspired aesthetic and influential presence in global fashion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3c552c8190b22844e5b7adfc50 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:23 p.m.