Triple
T22008557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 归来 |
E543513
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | 张艺谋 |
—
|
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: 张艺谋 | Statement: [归来, producer, 张艺谋]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 张艺谋 Context triple: [归来, producer, 张艺谋]
-
A.
Zhang Yimou
chosen
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."
-
B.
Chen Kaige
Chen Kaige is a renowned Chinese film director and screenwriter best known internationally for his award-winning historical drama "Farewell My Concubine."
-
C.
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。
-
D.
Wang Xiaoshuai
Wang Xiaoshuai is a prominent Chinese film director, screenwriter, and producer known for his contributions to the Sixth Generation movement and acclaimed works such as "Beijing Bicycle" and "So Long, My Son."
-
E.
Liu Xiaoqing
Liu Xiaoqing is a renowned Chinese actress and producer known for her influential roles in Chinese cinema since the late 1970s.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a2aebc8190951ee0bf9fd8e16d |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.