Triple
T7789958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Guangwu of Han |
E187350
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Liu Cang
Liu Cang was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
|
E693794
|
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: Liu Cang | Statement: [Emperor Guangwu of Han, child, Liu Cang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liu Cang Context triple: [Emperor Guangwu of Han, child, Liu Cang]
-
A.
Liu Cunhou
Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
-
B.
Li Cang
Li Cang was a Western Han dynasty noble and Chancellor of the Changsha Kingdom, best known as the tomb occupant associated with the famous Mawangdui archaeological site.
-
C.
He Jian
He Jian was a prominent Chinese Nationalist military commander and politician active during the early to mid-20th century.
-
D.
Li Hai
Li Hai is a Chinese human rights activist known for his pro-democracy efforts and imprisonment in China, for which he received international recognition.
-
E.
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.
- 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: Liu Cang Triple: [Emperor Guangwu of Han, child, Liu Cang]
Generated description
Liu Cang was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liu Cang Target entity description: Liu Cang was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
-
A.
Liu Cunhou
Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
-
B.
Li Cang
Li Cang was a Western Han dynasty noble and Chancellor of the Changsha Kingdom, best known as the tomb occupant associated with the famous Mawangdui archaeological site.
-
C.
He Jian
He Jian was a prominent Chinese Nationalist military commander and politician active during the early to mid-20th century.
-
D.
Li Hai
Li Hai is a Chinese human rights activist known for his pro-democracy efforts and imprisonment in China, for which he received international recognition.
-
E.
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.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13b38e708190a688ce4effbf7c48 |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1636b0d48190a57c2d3a7b3b41ed |
completed | March 31, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a29d2988190bb64aada0d2ef463 |
completed | March 31, 2026, 12:49 a.m. |
Created at: March 30, 2026, 4:25 p.m.