Triple
T12944615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ha Jin |
E309728
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ha Jin |
E309728
|
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: Ha Jin | Statement: [Ha Jin, name, Ha Jin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ha Jin Context triple: [Ha Jin, name, Ha Jin]
-
A.
Ha Jin
chosen
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."
-
B.
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.
-
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.
Mo Yan
Mo Yan is a Chinese novelist and Nobel Prize in Literature laureate known for his hallucinatory realism and works such as "Red Sorghum."
-
E.
Jiang Rong
Jiang Rong is a Chinese writer best known for his semi-autobiographical novel "Wolf Totem," which explores the culture of the Mongolian grasslands and the tension between tradition and modernization.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1b3694819098527dcea3cfed93 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af73e6348190be114e8c5ad181bf |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.