Triple
T8093874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fan Li |
E188934
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Xi Shi |
E711825
|
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: Xi Shi | Statement: [Fan Li, associatedWith, Xi Shi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xi Shi Context triple: [Fan Li, associatedWith, Xi Shi]
-
A.
Xi Shi
chosen
Xi Shi is one of the legendary Four Beauties of ancient China, famed for her extraordinary beauty and prominent role in Chinese folklore and history.
-
B.
Li Xiuzhen
Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
-
C.
Ling Xiaosu
Ling Xiaosu is a Chinese actor known for his roles in television dramas and for his former marriage to actress Yao Chen.
-
D.
Guo Nüwang
Guo Nüwang was an empress of the state of Cao Wei during China’s Three Kingdoms period and the wife of its first emperor, Cao Pi.
-
E.
Princess Yangxin
Princess Yangxin was a Han dynasty imperial princess, known as a daughter of Emperor Jing of Han and a member of the Western Han royal family.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4222b68c81909c8bc326763240d0 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93ff6a108190ac60218ec2716c60 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:30 p.m.