Triple
T858882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Bocheng |
E18554
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Xie Lian
Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
|
E132765
|
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: Xie Lian | Statement: [Liu Bocheng, spouse, Xie Lian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xie Lian Context triple: [Liu Bocheng, spouse, Xie Lian]
-
A.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
-
B.
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.
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
Lu Lingzi
Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
-
E.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
- 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: Xie Lian Triple: [Liu Bocheng, spouse, Xie Lian]
Generated description
Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xie Lian Target entity description: Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
-
A.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
-
B.
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.
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
Lu Lingzi
Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
-
E.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac50e5ec81908ac0c4b7123b4ebb |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e95e25881909c3e167417c0ae47 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f15c2808190905e40c6db9d957c |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac633749008190bae63644d5ee7cea |
completed | March 7, 2026, 5:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.