Triple
T20440889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Qun |
E501386
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Chang Chun
Chang Chun, also known as Zhang Qun, was a prominent 20th-century Chinese politician and diplomat who served in several key roles in the Republic of China government.
|
E1431698
|
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: Chang Chun | Statement: [Zhang Qun, alternativeName, Chang Chun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chang Chun Context triple: [Zhang Qun, alternativeName, Chang Chun]
-
A.
Chong Jin
Chong Jin is the given name of Wee Chong Jin, Singapore’s first Asian Chief Justice and a prominent figure in the country’s legal history.
-
B.
Chongde
Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
-
C.
Changyi
Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
-
D.
Changle
Changle is a coastal city in eastern China located on the Shandong Peninsula.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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: Chang Chun Triple: [Zhang Qun, alternativeName, Chang Chun]
Generated description
Chang Chun, also known as Zhang Qun, was a prominent 20th-century Chinese politician and diplomat who served in several key roles in the Republic of China government.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chang Chun Target entity description: Chang Chun, also known as Zhang Qun, was a prominent 20th-century Chinese politician and diplomat who served in several key roles in the Republic of China government.
-
A.
Chong Jin
Chong Jin is the given name of Wee Chong Jin, Singapore’s first Asian Chief Justice and a prominent figure in the country’s legal history.
-
B.
Chongde
Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
-
C.
Changyi
Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
-
D.
Changle
Changle is a coastal city in eastern China located on the Shandong Peninsula.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ff8e6c8190b8699ea023e98799 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08860f244c81909f2602704a19b0c6 |
completed | May 16, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08868eadd48190837d0fbefb3da02a |
completed | May 16, 2026, 3 p.m. |
Created at: April 16, 2026, 11:31 a.m.