Triple
T3308606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liang Xiaosheng |
E69513
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 梁晓声 |
E69513
|
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: 梁晓声 | Statement: [Liang Xiaosheng, nativeName, 梁晓声]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 梁晓声 Context triple: [Liang Xiaosheng, nativeName, 梁晓声]
-
A.
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."
-
B.
Ma Jian (writer)
Ma Jian is a Chinese-born novelist and essayist known for his politically charged, often banned works that critically examine contemporary China and life under authoritarian rule.
-
C.
Zhou Zuoren
Zhou Zuoren was a prominent Chinese essayist, literary critic, and scholar known for his role in early 20th-century cultural reform and his influential participation in the New Culture Movement.
-
D.
村上宗隆
村上宗隆は、東京ヤクルトスワローズに所属し、史上最年少で三冠王を獲得したことで知られる日本プロ野球界を代表する強打者の一人である。
-
E.
Liang Xiaosheng
chosen
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0e9f33c81909cff835a83e0a657 |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3edc0c081908a7f5c02fe18584b |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.