Triple
T20566165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Rites |
E504970
|
entity |
| Predicate | hasPinyinName |
P2508
|
FINISHED |
| Object |
Lǐjì
Lǐjì is the pinyin title of the classical Chinese text known in English as the Book of Rites, a foundational Confucian work on ritual, social norms, and proper conduct.
|
E1438273
|
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: Lǐjì | Statement: [Book of Rites, hasPinyinName, Lǐjì]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lǐjì Context triple: [Book of Rites, hasPinyinName, Lǐjì]
-
A.
Li Ji
Li Ji was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
-
B.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
C.
Wei Lihuang
Wei Lihuang was a prominent Nationalist Chinese general best known for his leadership of Chinese forces against Japan during the Second Sino-Japanese War and World War II.
-
D.
Wang Ling
Wang Ling was a Chinese historian of science best known for his extensive collaboration with Joseph Needham on the multi-volume work "Science and Civilisation in China."
-
E.
Liu Zhi
Liu Zhi was a Nationalist Chinese general who played a major leadership role in several key campaigns of the Chinese Civil War.
- 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: Lǐjì Triple: [Book of Rites, hasPinyinName, Lǐjì]
Generated description
Lǐjì is the pinyin title of the classical Chinese text known in English as the Book of Rites, a foundational Confucian work on ritual, social norms, and proper conduct.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lǐjì Target entity description: Lǐjì is the pinyin title of the classical Chinese text known in English as the Book of Rites, a foundational Confucian work on ritual, social norms, and proper conduct.
-
A.
Li Ji
Li Ji was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
-
B.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
C.
Wei Lihuang
Wei Lihuang was a prominent Nationalist Chinese general best known for his leadership of Chinese forces against Japan during the Second Sino-Japanese War and World War II.
-
D.
Wang Ling
Wang Ling was a Chinese historian of science best known for his extensive collaboration with Joseph Needham on the multi-volume work "Science and Civilisation in China."
-
E.
Liu Zhi
Liu Zhi was a Nationalist Chinese general who played a major leadership role in several key campaigns of the Chinese Civil War.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acdffa2c8190a87c367eb068e2cf |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08ad96b2a081908d32e335c5265eec |
completed | May 16, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ae19eca08190ada48b48105be62d |
completed | May 16, 2026, 5:49 p.m. |
Created at: April 16, 2026, 11:39 a.m.