Triple

T17749227
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Triad E443069 entity
Predicate screenwriter P2831 FINISHED
Object Su Tong 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: Su Tong | Statement: [Shanghai Triad, screenwriter, Su Tong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Su Tong
Context triple: [Shanghai Triad, screenwriter, Su Tong]
  • A. Su Tong chosen
    Su Tong is a prominent contemporary Chinese novelist and short story writer known internationally for his dark, psychologically rich portrayals of Chinese society, several of which have been adapted into acclaimed films.
  • B. Liu Qing
    Liu Qing is a prominent Chinese business executive best known as the president of ride-hailing giant Didi Chuxing and as the daughter of Lenovo founder Liu Chuanzhi.
  • C. Wei Yunsong
    Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
  • D. Liu Rong
    Liu Rong was a Han dynasty prince and briefly crown prince of Emperor Jing of Han before being deposed in a major court succession struggle.
  • E. 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.
  • 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.