Triple
T17749082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raise the Red Lantern |
E443066
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Du Yuan |
—
|
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: Du Yuan | Statement: [Raise the Red Lantern, editor, Du Yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Du Yuan Context triple: [Raise the Red Lantern, editor, Du Yuan]
-
A.
Du Yuan
chosen
Du Yuan is a literary editor known for working on the acclaimed Chinese novel "Red Sorghum."
-
B.
Yuan Keding
Yuan Keding was the eldest son of Chinese warlord and short-lived emperor Yuan Shikai, known mainly for his role within his father's regime during the early Republic of China.
-
C.
Wu Yuan
Wu Yuan, better known as Wu Zixu, was a famed statesman and military strategist of the Spring and Autumn period in ancient China, renowned for his role in the rise of the State of Wu.
-
D.
Liu Jichi
Liu Jichi was a Ming dynasty scholar-official known for helping compile the monumental Yongle Encyclopedia, one of the largest encyclopedic works in history.
-
E.
Fu Sheng
Fu Sheng was a short-lived and notoriously cruel emperor of the Former Qin state during China’s Sixteen Kingdoms period.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.