Triple
T8530242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Rams Statue |
E201925
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Yin Jichang |
E201925
|
NE FINISHED |
How this triple was built (2 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: Yin Jichang | Statement: [Five Rams Statue, designer, Yin Jichang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yin Jichang Context triple: [Five Rams Statue, designer, Yin Jichang]
-
A.
Yin Jichang
chosen
Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
-
B.
Zhu Changxun
Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
-
C.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
D.
Liu Bingzhong
Liu Bingzhong was a prominent Yuan dynasty scholar-official, architect, and urban planner best known for helping design the Mongol capital that became Beijing.
-
E.
Zhu Jianshen
Zhu Jianshen, better known as the Chenghua Emperor, was a Ming dynasty ruler whose long reign saw both cultural flourishing and increasing court corruption in 15th-century China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67546248190b359c845c0161ad3 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd069faa481908db58399fe8f72f1 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:17 p.m.