Triple
T20968008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Kaige |
E516420
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 陈凯歌 |
—
|
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: 陈凯歌 | Statement: [Chen Kaige, nativeName, 陈凯歌]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陈凯歌 Context triple: [Chen Kaige, nativeName, 陈凯歌]
-
A.
Chen Kaige
chosen
Chen Kaige is a renowned Chinese film director and screenwriter best known internationally for his award-winning historical drama "Farewell My Concubine."
-
B.
Zhang Yimou
Zhang Yimou is an acclaimed Chinese film director and cinematographer known for visually stunning, emotionally powerful works such as "Raise the Red Lantern," "Hero," and "House of Flying Daggers."
-
C.
陳可辛
陳可辛は『甜蜜蜜（ラヴソング）』や『如果・愛（Perhaps Love）』などで知られる香港出身の映画監督・プロデューサーです。
-
D.
Feng Xiaogang
Feng Xiaogang is a prominent Chinese film director, screenwriter, and actor best known for his commercially successful comedies and New Year films.
-
E.
谢飞
谢飞是一位中国著名电影导演和教育家，以其现实主义风格作品及在北京电影学院的长期任教而知名。
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:39 p.m.