Triple
T22627396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ningbo History Museum |
E558458
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Lu Wenyu |
—
|
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: Lu Wenyu | Statement: [Ningbo History Museum, architect, Lu Wenyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu Wenyu Context triple: [Ningbo History Museum, architect, Lu Wenyu]
-
A.
Lu Wenyu
chosen
Lu Wenyu is a Chinese architect and co-founder of Amateur Architecture Studio, known for her collaborative work with her husband, Pritzker Prize laureate Wang Shu.
-
B.
Lu Wei
Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
-
C.
Jiang Wenli
Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
-
D.
Li Ying
Li Ying was a Tang dynasty crown prince and the eldest son of Emperor Xuanzong, whose political downfall and forced suicide became a notable episode in mid-Tang imperial history.
-
E.
Li Shuxian
Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3e09ec8190af940c25c7e8e029 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:01 p.m.