Triple
T16138357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Taizong of Jin |
E391587
|
entity |
| Predicate | eraNameUsed |
P2938
|
FINISHED |
| Object |
Tianjuan
Tianjuan was a historical Chinese era name used during the reign of Emperor Taizong of the Jurchen-led Jin dynasty.
|
E1195502
|
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: Tianjuan | Statement: [Emperor Taizong of Jin, eraNameUsed, Tianjuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tianjuan Context triple: [Emperor Taizong of Jin, eraNameUsed, Tianjuan]
-
A.
Yingtian
Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
-
B.
Jingyu
Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
-
C.
Yujian
Yujian was the personal name of the Longwu Emperor, a short-lived Ming dynasty claimant who resisted the Qing conquest in southern China.
-
D.
Panchiao
Panchiao is an older romanization of Banqiao District, a major urban district and transportation hub in New Taipei City, Taiwan.
-
E.
Yanshou
Yanshou was a prominent 10th-century Chinese Chan (Zen) Buddhist monk and scholar known for synthesizing various Buddhist traditions and emphasizing the unity of different paths to enlightenment.
- 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: Tianjuan Triple: [Emperor Taizong of Jin, eraNameUsed, Tianjuan]
Generated description
Tianjuan was a historical Chinese era name used during the reign of Emperor Taizong of the Jurchen-led Jin dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tianjuan Target entity description: Tianjuan was a historical Chinese era name used during the reign of Emperor Taizong of the Jurchen-led Jin dynasty.
-
A.
Yingtian
Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
-
B.
Jingyu
Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
-
C.
Yujian
Yujian was the personal name of the Longwu Emperor, a short-lived Ming dynasty claimant who resisted the Qing conquest in southern China.
-
D.
Panchiao
Panchiao is an older romanization of Banqiao District, a major urban district and transportation hub in New Taipei City, Taiwan.
-
E.
Yanshou
Yanshou was a prominent 10th-century Chinese Chan (Zen) Buddhist monk and scholar known for synthesizing various Buddhist traditions and emphasizing the unity of different paths to enlightenment.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a06e0988190b5cd62d422d058a2 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b574148190b9d5b725d7d113af |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3478bfc8190bbcc0afbf6dbb089 |
completed | May 10, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3d29f50819093a9355d016f48dd |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 5:01 a.m.