Triple
T18010090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ren Bishi |
E430854
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ren Bishi |
—
|
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: Ren Bishi | Statement: [Ren Bishi, name, Ren Bishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ren Bishi Context triple: [Ren Bishi, name, Ren Bishi]
-
A.
Ren Bishi
chosen
Ren Bishi was a prominent early leader of the Chinese Communist Party who played key roles in its organizational development and revolutionary activities.
-
B.
Bai Chong Xi
Bai Chongxi was a prominent Chinese Muslim general and political figure of the Nationalist government during the first half of the 20th century.
-
C.
Fu Sheng
Fu Sheng was a short-lived and notoriously cruel emperor of the Former Qin state during China’s Sixteen Kingdoms period.
-
D.
Wang Dusit
Wang Dusit is the Thai name for Dusit Palace, a royal residence complex in Bangkok built during the reign of King Chulalongkorn (Rama V).
-
E.
Du Yuan
Du Yuan is a literary editor known for working on the acclaimed Chinese novel "Red Sorghum."
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51f0a488190bd34e1f9039f4dc9 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.