Triple
T17630883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Former Qin |
E429971
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object |
Fu Sheng
Fu Sheng was a short-lived and notoriously cruel emperor of the Former Qin state during China’s Sixteen Kingdoms period.
|
E1302467
|
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: Fu Sheng | Statement: [Former Qin, notableRuler, Fu Sheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fu Sheng Context triple: [Former Qin, notableRuler, Fu Sheng]
-
A.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
B.
Zeng Shen
Zeng Shen was a prominent disciple of Confucius, revered in Confucian tradition for his moral integrity and contributions to the development and transmission of Confucian thought.
-
C.
Zhang Wenshou
Zhang Wenshou was the wife of Cao Kun, a prominent Chinese warlord and president of the Beiyang government in the early Republic of China.
-
D.
Shen Dao
Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
-
E.
Fu Shi
Fu Shi was a consort of the Shang dynasty king Wu Ding, known from ancient Chinese historical and archaeological records.
- 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: Fu Sheng Triple: [Former Qin, notableRuler, Fu Sheng]
Generated description
Fu Sheng was a short-lived and notoriously cruel emperor of the Former Qin state during China’s Sixteen Kingdoms period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fu Sheng Target entity description: Fu Sheng was a short-lived and notoriously cruel emperor of the Former Qin state during China’s Sixteen Kingdoms period.
-
A.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
B.
Zeng Shen
Zeng Shen was a prominent disciple of Confucius, revered in Confucian tradition for his moral integrity and contributions to the development and transmission of Confucian thought.
-
C.
Zhang Wenshou
Zhang Wenshou was the wife of Cao Kun, a prominent Chinese warlord and president of the Beiyang government in the early Republic of China.
-
D.
Shen Dao
Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
-
E.
Fu Shi
Fu Shi was a consort of the Shang dynasty king Wu Ding, known from ancient Chinese historical and archaeological records.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc192dc8190854f1fe5d5ed696a |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034998e08081909bb8b9711002486f |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034b0817408190817e4a3ee0003d57 |
completed | May 12, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034bdf5c808190ac329e663e220f1b |
completed | May 12, 2026, 3:48 p.m. |
Created at: April 10, 2026, 5:52 a.m.