Triple
T17749316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road Home |
E443071
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object |
Bao Shi
Bao Shi is a Chinese writer best known internationally as the author of the source material for Zhang Yimou’s film "The Road Home."
|
E1285148
|
NE FINISHED |
How this triple was built (4 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: Bao Shi | Statement: [The Road Home, basedOnWorkBy, Bao Shi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bao Shi Context triple: [The Road Home, basedOnWorkBy, Bao Shi]
-
A.
Zhongyuan Guanhua
Zhongyuan Guanhua is a major dialect group of Mandarin Chinese spoken primarily in China’s Central Plains region, including parts of Henan, Shanxi, Shaanxi, and surrounding areas.
-
B.
Tsinan
Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
-
C.
Lianyuan
Lianyuan is a county-level city in central Hunan Province, China, administered by the prefecture-level city of Loudi and known for its coal resources and industrial development.
-
D.
Xijie
Xijie was the personal name of Empress Xiaoduanxian, a Ming dynasty empress consort of the Wanli Emperor in China.
-
E.
Zhongxun
Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bao Shi Triple: [The Road Home, basedOnWorkBy, Bao Shi]
Generated description
Bao Shi is a Chinese writer best known internationally as the author of the source material for Zhang Yimou’s film "The Road Home."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bao Shi Target entity description: Bao Shi is a Chinese writer best known internationally as the author of the source material for Zhang Yimou’s film "The Road Home."
-
A.
Zhongyuan Guanhua
Zhongyuan Guanhua is a major dialect group of Mandarin Chinese spoken primarily in China’s Central Plains region, including parts of Henan, Shanxi, Shaanxi, and surrounding areas.
-
B.
Tsinan
Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
-
C.
Lianyuan
Lianyuan is a county-level city in central Hunan Province, China, administered by the prefecture-level city of Loudi and known for its coal resources and industrial development.
-
D.
Xijie
Xijie was the personal name of Empress Xiaoduanxian, a Ming dynasty empress consort of the Wanli Emperor in China.
-
E.
Zhongxun
Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
- F. None of above. chosen
Provenance (5 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a024304d6cc819097666c7f3fd2fd07 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02458aaac88190b62258e1983100f4 |
completed | May 11, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02462830088190b036cca2840c287c |
completed | May 11, 2026, 9:12 p.m. |
Created at: April 10, 2026, 10:10 a.m.