Triple
T19217440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo Moruo |
E480523
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Guo Dingkang
Guo Dingkang is an alternate name for Guo Moruo, a prominent 20th-century Chinese author, poet, historian, and political figure.
|
E1462148
|
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: Guo Dingkang | Statement: [Guo Moruo, alternateName, Guo Dingkang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guo Dingkang Context triple: [Guo Moruo, alternateName, Guo Dingkang]
-
A.
Guo Shuqing
Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
-
B.
Guo Boxiong
Guo Boxiong is a former high-ranking Chinese general and vice chairman of the Central Military Commission who was later convicted of corruption.
-
C.
Yuan Wenkang
Yuan Wenkang is a Chinese actor known for his roles in film and television dramas.
-
D.
Guan Qihui
Guan Qihui is a Chinese sculptor best known for designing the iconic Five Rams Statue in Guangzhou.
-
E.
Liu Jinguo
Liu Jinguo is a senior Chinese Communist Party official known for his leadership role in the country’s top anti-corruption and disciplinary oversight body.
- 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: Guo Dingkang Triple: [Guo Moruo, alternateName, Guo Dingkang]
Generated description
Guo Dingkang is an alternate name for Guo Moruo, a prominent 20th-century Chinese author, poet, historian, and political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guo Dingkang Target entity description: Guo Dingkang is an alternate name for Guo Moruo, a prominent 20th-century Chinese author, poet, historian, and political figure.
-
A.
Guo Shuqing
Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
-
B.
Guo Boxiong
Guo Boxiong is a former high-ranking Chinese general and vice chairman of the Central Military Commission who was later convicted of corruption.
-
C.
Yuan Wenkang
Yuan Wenkang is a Chinese actor known for his roles in film and television dramas.
-
D.
Guan Qihui
Guan Qihui is a Chinese sculptor best known for designing the iconic Five Rams Statue in Guangzhou.
-
E.
Liu Jinguo
Liu Jinguo is a senior Chinese Communist Party official known for his leadership role in the country’s top anti-corruption and disciplinary oversight body.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3aff9c8190974363683b8246f5 |
completed | April 20, 2026, 10:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b39e6708190af63c5b5b5bc5854 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093ff3cd208190874a2443dcc07ca8 |
completed | May 17, 2026, 4:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094062d868819080708d1f49f269c8 |
completed | May 17, 2026, 4:13 a.m. |
Created at: April 10, 2026, 1:23 p.m.