Triple

T17749274
Position Surface form Disambiguated ID Type / Status
Subject Not One Less E443070 entity
Predicate screenwriter P2831 FINISHED
Object Shi Xiangsheng NE NERFINISHED

How this triple was built (3 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: Shi Xiangsheng | Statement: [Not One Less, screenwriter, Shi Xiangsheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shi Xiangsheng
Context triple: [Not One Less, screenwriter, Shi Xiangsheng]
  • A. Liang Xingchu
    Liang Xingchu was a prominent Chinese military commander of the People's Liberation Army who played key roles in several major campaigns during the Chinese Civil War and the Korean War.
  • B. Zhao Shangzhi
    Zhao Shangzhi was a prominent Chinese communist military leader who became a key figure in organizing and directing guerrilla resistance against Japanese forces in Northeast China during the Second Sino-Japanese War.
  • C. Wang Xiancheng
    Wang Xiancheng was a Ming dynasty official and scholar best known for creating the renowned classical Chinese landscape garden now called the Humble Administrator's Garden in Suzhou.
  • D. Huang Xiansheng
    Huang Xiansheng was a Chinese military figure and graduate of the Yunnan Military Academy, an institution known for training many influential officers in modern Chinese history.
  • E. Xue Rengui
    Xue Rengui was a famed Tang dynasty general renowned for his military exploits on the empire’s frontiers, particularly in campaigns against Goguryeo and other neighboring states.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shi Xiangsheng
Target entity description: Shi Xiangsheng is a Chinese writer and screenwriter best known for creating the story and script for Zhang Yimou’s acclaimed film "Not One Less."
  • A. Liang Xingchu
    Liang Xingchu was a prominent Chinese military commander of the People's Liberation Army who played key roles in several major campaigns during the Chinese Civil War and the Korean War.
  • B. Zhao Shangzhi
    Zhao Shangzhi was a prominent Chinese communist military leader who became a key figure in organizing and directing guerrilla resistance against Japanese forces in Northeast China during the Second Sino-Japanese War.
  • C. Wang Xiancheng
    Wang Xiancheng was a Ming dynasty official and scholar best known for creating the renowned classical Chinese landscape garden now called the Humble Administrator's Garden in Suzhou.
  • D. Huang Xiansheng
    Huang Xiansheng was a Chinese military figure and graduate of the Yunnan Military Academy, an institution known for training many influential officers in modern Chinese history.
  • E. Xue Rengui
    Xue Rengui was a famed Tang dynasty general renowned for his military exploits on the empire’s frontiers, particularly in campaigns against Goguryeo and other neighboring states.
  • F. None of above. chosen

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.