Triple
T4293520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu |
E99651
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Zhu Qinan
Zhu Qinan is a Chinese sport shooter and Olympic gold medalist known for his achievements in the 10 metre air rifle event.
|
E450536
|
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: Zhu Qinan | Statement: [Zhu, hasNotableBearer, Zhu Qinan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhu Qinan Context triple: [Zhu, hasNotableBearer, Zhu Qinan]
-
A.
Zhu Zhanyong
Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
B.
Zhang Wenqi
Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
-
C.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
D.
Zhu Youyuan
Zhu Youyuan was a Ming dynasty prince whose posthumous elevation to emperor came only after his son, the Jiajing Emperor, ascended the throne and fought to honor him as an imperial ancestor.
-
E.
Peng Sanyuan
Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
- 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: Zhu Qinan Triple: [Zhu, hasNotableBearer, Zhu Qinan]
Generated description
Zhu Qinan is a Chinese sport shooter and Olympic gold medalist known for his achievements in the 10 metre air rifle event.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhu Qinan Target entity description: Zhu Qinan is a Chinese sport shooter and Olympic gold medalist known for his achievements in the 10 metre air rifle event.
-
A.
Zhu Zhanyong
Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
B.
Zhang Wenqi
Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
-
C.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
D.
Zhu Youyuan
Zhu Youyuan was a Ming dynasty prince whose posthumous elevation to emperor came only after his son, the Jiajing Emperor, ascended the throne and fought to honor him as an imperial ancestor.
-
E.
Peng Sanyuan
Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35082228081908504e3fd7c4ca1e8 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacc9ef8c81909ff2a16cf68844d0 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdad757394819091d334c12b660b95 |
completed | March 20, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdadd612a48190b088fe6ac894dbb5 |
completed | March 20, 2026, 8:28 p.m. |
Created at: March 12, 2026, 11:08 p.m.