Triple
T4459751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special ID |
E98221
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Zhao Gang
Zhao Gang is an actor known for appearing in the film or television production titled "Special ID."
|
E470964
|
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 Gang | Statement: [Special ID, hasCastMember, Zhao Gang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhao Gang Context triple: [Special ID, hasCastMember, Zhao Gang]
-
A.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
B.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
-
C.
Lu Chaoyang
Lu Chaoyang is a prominent Chinese physicist known for his contributions to quantum information science and quantum optics.
-
D.
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.
-
E.
Hui Xiong
Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
- 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 Gang Triple: [Special ID, hasCastMember, Zhao Gang]
Generated description
Zhao Gang is an actor known for appearing in the film or television production titled "Special ID."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhao Gang Target entity description: Zhao Gang is an actor known for appearing in the film or television production titled "Special ID."
-
A.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
B.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
-
C.
Lu Chaoyang
Lu Chaoyang is a prominent Chinese physicist known for his contributions to quantum information science and quantum optics.
-
D.
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.
-
E.
Hui Xiong
Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
- 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_69be4d66d4948190a095a92d0e3778ca |
completed | March 21, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69be4df820408190822de7b30a15cb9e |
completed | March 21, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4e95399c81908d152c7f1485c1e8 |
completed | March 21, 2026, 7:53 a.m. |
Created at: March 12, 2026, 11:33 p.m.