Triple
T16412144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanyan Aguda |
E398591
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object |
Shouguo
Shouguo was the era name used by Wanyan Aguda, the founding emperor of the Jurchen-led Jin dynasty in northern China.
|
E1211230
|
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: Shouguo | Statement: [Wanyan Aguda, eraName, Shouguo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shouguo Context triple: [Wanyan Aguda, eraName, Shouguo]
-
A.
Bangguo
Bangguo is the given name of Wu Bangguo, a prominent Chinese politician who served as Chairman of the Standing Committee of the National People's Congress.
-
B.
State of Guo
The State of Guo was a small ancient Chinese vassal state that existed during the early Zhou dynasty period.
-
C.
Wei-kuo
Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
-
D.
Kaga no Kuni
Kaga no Kuni was a historical province of Japan located in what is now southern Ishikawa Prefecture on the island of Honshu.
-
E.
Rongji
Rongji is the given name of Zhu Rongji, the former Premier of the People's Republic of China known for his economic reforms and administrative efficiency.
- 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: Shouguo Triple: [Wanyan Aguda, eraName, Shouguo]
Generated description
Shouguo was the era name used by Wanyan Aguda, the founding emperor of the Jurchen-led Jin dynasty in northern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shouguo Target entity description: Shouguo was the era name used by Wanyan Aguda, the founding emperor of the Jurchen-led Jin dynasty in northern China.
-
A.
Bangguo
Bangguo is the given name of Wu Bangguo, a prominent Chinese politician who served as Chairman of the Standing Committee of the National People's Congress.
-
B.
State of Guo
The State of Guo was a small ancient Chinese vassal state that existed during the early Zhou dynasty period.
-
C.
Wei-kuo
Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
-
D.
Kaga no Kuni
Kaga no Kuni was a historical province of Japan located in what is now southern Ishikawa Prefecture on the island of Honshu.
-
E.
Rongji
Rongji is the given name of Zhu Rongji, the former Premier of the People's Republic of China known for his economic reforms and administrative efficiency.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32874a0cc8190874aea10b1d13004 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c68b7408190a9612a57f146dc30 |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003db7b0308190bc4b8065cf2c01ec |
completed | May 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003e86a9f48190ae39ec170c776604 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.