Triple
T17748983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Sorghum |
E443064
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | Mo Yan |
—
|
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: Mo Yan | Statement: [Red Sorghum, basedOnWorkBy, Mo Yan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mo Yan Context triple: [Red Sorghum, basedOnWorkBy, Mo Yan]
-
A.
Mo Yan
chosen
Mo Yan is a Chinese novelist and Nobel Prize in Literature laureate known for his hallucinatory realism and works such as "Red Sorghum."
-
B.
Ha Jin
Ha Jin is a Chinese American novelist and poet renowned for his works exploring the Cultural Revolution and immigrant experiences, including the National Book Award–winning novel "Waiting."
-
C.
Yiyun Li
Yiyun Li is a Chinese American author acclaimed for her introspective fiction and essays that explore themes of memory, identity, and the legacy of history.
-
D.
Feng Jicai
Feng Jicai is a prominent Chinese writer, cultural scholar, and preservationist known for his fiction and his efforts to protect China's urban and folk cultural heritage.
-
E.
Mao Dun
Mao Dun was a prominent 20th-century Chinese novelist, cultural critic, and one of the leading figures of modern Chinese literature.
- 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_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:10 a.m.