Triple
T21384137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liang Xinjun |
E527445
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Liang Xinjun |
—
|
NE NERFINISHED |
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: Liang Xinjun | Statement: [Liang Xinjun, name, Liang Xinjun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liang Xinjun Context triple: [Liang Xinjun, name, Liang Xinjun]
-
A.
Liang Xinjun
chosen
Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
-
B.
Li Jinglin
Li Jinglin was a prominent Chinese warlord and military commander of the early Republican era, associated with the Zhili clique during the Warlord Era.
-
C.
Jiang Weijun
Jiang Weijun is the birth name of Ding Ling, a prominent 20th-century Chinese writer and revolutionary known for her influential leftist literature and feminist themes.
-
D.
Zhu Jianhua
Zhu Jianhua is a former Chinese high jumper who set multiple world records in the 1980s and won a bronze medal at the 1984 Los Angeles Olympic Games.
-
E.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f164d08190a7df85451c082f53 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.