Triple
T651197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Jews of Kaifeng |
E11347
|
entity |
| Predicate | commonSurnames |
P15990
|
FINISHED |
| Object |
Zhang
Zhang is a common Chinese surname historically borne by members of the Jewish community of Kaifeng.
|
E81790
|
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: Zhang | Statement: [Chinese Jews of Kaifeng, commonSurnames, Zhang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhang Context triple: [Chinese Jews of Kaifeng, commonSurnames, Zhang]
-
A.
Zhao
Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
-
B.
Zhang Fakui
Zhang Fakui was a prominent Nationalist Chinese general who played key roles in major early battles of the Second Sino-Japanese War.
-
C.
Li Qiang
Li Qiang is a Chinese politician serving as the premier of the People's Republic of China and a close ally of President Xi Jinping.
-
D.
Sun Lianzhong
Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
E.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
- 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: Zhang Triple: [Chinese Jews of Kaifeng, commonSurnames, Zhang]
Generated description
Zhang is a common Chinese surname historically borne by members of the Jewish community of Kaifeng.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhang Target entity description: Zhang is a common Chinese surname historically borne by members of the Jewish community of Kaifeng.
-
A.
Zhao
Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
-
B.
Zhang Fakui
Zhang Fakui was a prominent Nationalist Chinese general who played key roles in major early battles of the Second Sino-Japanese War.
-
C.
Li Qiang
Li Qiang is a Chinese politician serving as the premier of the People's Republic of China and a close ally of President Xi Jinping.
-
D.
Sun Lianzhong
Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
E.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a517ac148190aa032b77885bf709 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a59145fbbc8190b60b8bc420a3643c |
completed | March 2, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69a591c8d1c48190b0f2313662ca9a5d |
completed | March 2, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a59273382881909c51d367286c9f7c |
completed | March 2, 2026, 1:36 p.m. |
Created at: March 1, 2026, 7:36 p.m.