Triple
T3481179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongxi Emperor |
E73492
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Zhu Zhanshan
Zhu Zhanshan was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
|
E370811
|
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 Zhanshan | Statement: [Hongxi Emperor, child, Zhu Zhanshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhu Zhanshan Context triple: [Hongxi Emperor, child, Zhu Zhanshan]
-
A.
Xie Lian
Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
-
B.
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.
-
C.
Zhang Boling
Zhang Boling was a prominent Chinese educator and reformer best known for establishing the influential Nankai school system and shaping modern Chinese education.
-
D.
Zhang Yue
Zhang Yue is a key member and prominent figure associated with the organization or group known as The B Team.
-
E.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
- 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 Zhanshan Triple: [Hongxi Emperor, child, Zhu Zhanshan]
Generated description
Zhu Zhanshan was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhu Zhanshan Target entity description: Zhu Zhanshan was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
A.
Xie Lian
Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
-
B.
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.
-
C.
Zhang Boling
Zhang Boling was a prominent Chinese educator and reformer best known for establishing the influential Nankai school system and shaping modern Chinese education.
-
D.
Zhang Yue
Zhang Yue is a key member and prominent figure associated with the organization or group known as The B Team.
-
E.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb75850c8190ad02cf2bde8be8a7 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402cf675c81909e8625bfc0becc91 |
completed | March 13, 2026, 12:27 p.m. |
| NEDg | Description generation | batch_69b406af1ed88190884541ee1671cabd |
completed | March 13, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4086ab034819086c5fa7d4b172d75 |
completed | March 13, 2026, 12:51 p.m. |
Created at: March 8, 2026, 3:17 p.m.