Triple
T4459791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Story 2013 |
E98222
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Zhao Lin
Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
|
E486322
|
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: Zhao Lin | Statement: [Police Story 2013, musicBy, Zhao Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhao Lin Context triple: [Police Story 2013, musicBy, Zhao Lin]
-
A.
Zhao Sheng
Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the Republic of China.
-
B.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
C.
Zhou Lingzhao
Zhou Lingzhao was a Chinese artist and designer best known for helping create foundational national symbols of the People’s Republic of China, including its national emblem.
-
D.
Zhu Zhanyong
Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
E.
Zhu Jianhua
Zhu Jianhua is a former Chinese high jumper who set multiple world records in the 1980s and won a bronze medal at the 1984 Los Angeles Olympic Games.
- 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: Zhao Lin Triple: [Police Story 2013, musicBy, Zhao Lin]
Generated description
Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhao Lin Target entity description: Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
-
A.
Zhao Sheng
Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the Republic of China.
-
B.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
C.
Zhou Lingzhao
Zhou Lingzhao was a Chinese artist and designer best known for helping create foundational national symbols of the People’s Republic of China, including its national emblem.
-
D.
Zhu Zhanyong
Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
E.
Zhu Jianhua
Zhu Jianhua is a former Chinese high jumper who set multiple world records in the 1980s and won a bronze medal at the 1984 Los Angeles Olympic Games.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be921df91881909c257fbd3c46073c |
completed | March 21, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_69be93efbf548190b2967a41162f2e4e |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be945978a48190821103cdd306075d |
completed | March 21, 2026, 12:51 p.m. |
Created at: March 12, 2026, 11:33 p.m.