Triple
T7946811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qu Yuan |
E184517
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tian Wen
Tian Wen is an ancient Chinese poetic work traditionally attributed to Qu Yuan, known for its rich mythological imagery and philosophical questioning.
|
E704528
|
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: Tian Wen | Statement: [Qu Yuan, notableWork, Tian Wen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tian Wen Context triple: [Qu Yuan, notableWork, Tian Wen]
-
A.
Tian Rui
Tian Rui is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
-
B.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
-
C.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
-
D.
Yunwen
Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
-
E.
Siyi Yue
Siyi Yue is a regional variety of Yue Chinese spoken primarily in the Siyi (Four Counties) area of Guangdong, China.
- 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: Tian Wen Triple: [Qu Yuan, notableWork, Tian Wen]
Generated description
Tian Wen is an ancient Chinese poetic work traditionally attributed to Qu Yuan, known for its rich mythological imagery and philosophical questioning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tian Wen Target entity description: Tian Wen is an ancient Chinese poetic work traditionally attributed to Qu Yuan, known for its rich mythological imagery and philosophical questioning.
-
A.
Tian Rui
Tian Rui is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
-
B.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
-
C.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
-
D.
Yunwen
Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
-
E.
Siyi Yue
Siyi Yue is a regional variety of Yue Chinese spoken primarily in the Siyi (Four Counties) area of Guangdong, China.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.