Triple
T13872422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Guanzhong |
E333487
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 吴冠中 |
E333487
|
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: 吴冠中 | Statement: [Wu Guanzhong, nativeName, 吴冠中]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 吴冠中 Context triple: [Wu Guanzhong, nativeName, 吴冠中]
-
A.
Wu Guanzhong
chosen
Wu Guanzhong was a renowned 20th-century Chinese painter celebrated for blending Western modernist techniques with traditional Chinese ink painting.
-
B.
Zhang Huan
Zhang Huan is a contemporary Chinese artist known for his provocative performance art and large-scale sculptures that explore themes of identity, memory, and spirituality.
-
C.
Zao Wou-Ki
Zao Wou-Ki was a Chinese-French painter renowned for his lyrical abstract works that fused Eastern calligraphic traditions with Western modernist techniques.
-
D.
Feng Zikai
Feng Zikai was a renowned 20th-century Chinese painter, cartoonist, essayist, and translator celebrated for his humanistic cartoons and contributions to modern Chinese art and literature.
-
E.
柳宗悦
柳宗悦は、日本の民藝運動を提唱し、無名の職人による日常の工芸品に美を見いだした思想家・美術評論家です。
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.