Triple
T4459748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special ID |
E98221
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Jiang Luxia
Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
|
E444663
|
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: Jiang Luxia | Statement: [Special ID, hasCastMember, Jiang Luxia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiang Luxia Context triple: [Special ID, hasCastMember, Jiang Luxia]
-
A.
Li Xiuzhen
Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
-
B.
Wang Jingjiu
Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
-
C.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
D.
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.
-
E.
Zhu Changying
Zhu Changying was a Ming dynasty prince and the father of the Yongli Emperor, the last claimant of the Southern Ming regime.
- 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: Jiang Luxia Triple: [Special ID, hasCastMember, Jiang Luxia]
Generated description
Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jiang Luxia Target entity description: Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
-
A.
Li Xiuzhen
Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
-
B.
Wang Jingjiu
Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
-
C.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
D.
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.
-
E.
Zhu Changying
Zhu Changying was a Ming dynasty prince and the father of the Yongli Emperor, the last claimant of the Southern Ming regime.
- 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_69b65f3b9950819085c285defda52d51 |
completed | March 15, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69b6601c1d4481909147ddab42bc29b5 |
completed | March 15, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66072e9508190ae279ec662dce25c |
completed | March 15, 2026, 7:32 a.m. |
Created at: March 12, 2026, 11:33 p.m.