Triple

T18731301
Position Surface form Disambiguated ID Type / Status
Subject The Farewell (2019 film) E458040 entity
Predicate stars P1956 FINISHED
Object Zhao Shu-zhen 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: Zhao Shu-zhen | Statement: [The Farewell (2019 film), stars, Zhao Shu-zhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhao Shu-zhen
Context triple: [The Farewell (2019 film), stars, Zhao Shu-zhen]
  • A. Zhao Shuzhen chosen
    Zhao Shuzhen is a Chinese actress best known internationally for her acclaimed role as the grandmother in the 2019 film "The Farewell."
  • B. Shen Junru
    Shen Junru was a prominent Chinese jurist, educator, and political figure who played a key role in modern China's legal and educational development.
  • C. Wang Jingjiu
    Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
  • D. Zhao Bingjun
    Zhao Bingjun was an early Republican Chinese politician who served as a key government leader during the formative years of the Republic of China.
  • E. Shen Jilan
    Shen Jilan was a long-serving Chinese politician and rural labor activist, known as the only deputy to serve in every National People's Congress from its founding in 1954 until her death.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d778cf8819083500600b9ac0744 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.