Triple
T8093834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bai Qi |
E188933
|
entity |
| Predicate | transcribedName |
P28703
|
FINISHED |
| Object | Bai Qi |
E188933
|
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: Bai Qi | Statement: [Bai Qi, transcribedName, Bai Qi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bai Qi Context triple: [Bai Qi, transcribedName, Bai Qi]
-
A.
Bai Qi
chosen
Bai Qi was a renowned Qin general of the Warring States period, famed for his brilliant military strategies and ruthless effectiveness on the battlefield.
-
B.
Jianwu
Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
-
C.
Jian
Jian is the given name of Ma Jian, a prominent Chinese-born writer known for his politically charged fiction and essays critical of contemporary China.
-
D.
Lian Po
Lian Po was a renowned military general of the Warring States period in ancient China, celebrated for his defensive strategies and service to the state of Zhao.
-
E.
Yizhu
Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
- 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.