Triple
T5905190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 皇室典範 |
E131324
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object |
皇嗣
皇嗣は、日本の皇室において天皇の直系で皇位継承順位が最も高い者を指す称号である。
|
E554749
|
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: 皇嗣 | Statement: [皇室典範, appliesTo, 皇嗣]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 皇嗣 Context triple: [皇室典範, appliesTo, 皇嗣]
-
A.
Son of Heaven
The Son of Heaven is the traditional Chinese imperial title signifying the emperor’s role as the divinely sanctioned ruler and intermediary between Heaven and the human realm.
-
B.
Prince of Gui
Prince of Gui was the noble title held by Zhu Youlang before he became the Yongli Emperor, the last sovereign of the Southern Ming dynasty in 17th-century China.
-
C.
Hongzhi Zhengjue
Hongzhi Zhengjue was a prominent 12th-century Chinese Chan master of the Caodong school, best known for developing and teaching the practice of silent illumination meditation.
-
D.
Prince of Yan
Prince of Yan was the noble title held by Zhu Di before he became the Yongle Emperor of the Ming dynasty.
-
E.
Prince of Cheng
The Prince of Cheng was a noble title in the Ming dynasty Chinese imperial hierarchy, held by Zhu Qiyu before he ascended the throne as the Jingtai Emperor.
- 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: 皇嗣 Triple: [皇室典範, appliesTo, 皇嗣]
Generated description
皇嗣は、日本の皇室において天皇の直系で皇位継承順位が最も高い者を指す称号である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 皇嗣 Target entity description: 皇嗣は、日本の皇室において天皇の直系で皇位継承順位が最も高い者を指す称号である。
-
A.
Son of Heaven
The Son of Heaven is the traditional Chinese imperial title signifying the emperor’s role as the divinely sanctioned ruler and intermediary between Heaven and the human realm.
-
B.
Prince of Gui
Prince of Gui was the noble title held by Zhu Youlang before he became the Yongli Emperor, the last sovereign of the Southern Ming dynasty in 17th-century China.
-
C.
Hongzhi Zhengjue
Hongzhi Zhengjue was a prominent 12th-century Chinese Chan master of the Caodong school, best known for developing and teaching the practice of silent illumination meditation.
-
D.
Prince of Yan
Prince of Yan was the noble title held by Zhu Di before he became the Yongle Emperor of the Ming dynasty.
-
E.
Prince of Cheng
The Prince of Cheng was a noble title in the Ming dynasty Chinese imperial hierarchy, held by Zhu Qiyu before he ascended the throne as the Jingtai Emperor.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037395a7c8190a44197a5415101f6 |
completed | March 22, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16ba6c881908e9a909bf86ea92d |
completed | March 23, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c0b27438a08190ab6b72c8fd682bf6 |
completed | March 23, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b309a70081908ad3e819879b17e4 |
completed | March 23, 2026, 3:27 a.m. |
Created at: March 22, 2026, 3:59 p.m.