Triple

T17749571
Position Surface form Disambiguated ID Type / Status
Subject The Flowers of War E443076 entity
Predicate castMember P1668 FINISHED
Object Zhang Xinyi
Zhang Xinyi is a Chinese actress known for her film and television roles, including a supporting part in the historical drama "The Flowers of War."
E1302481 NE FINISHED

How this triple was built (4 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: Zhang Xinyi | Statement: [The Flowers of War, castMember, Zhang Xinyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhang Xinyi
Context triple: [The Flowers of War, castMember, Zhang Xinyi]
  • A. Zeng Xinying
    Zeng Xinying is a Taiwanese businesswoman best known as the wife of Foxconn founder and billionaire Terry Gou.
  • B. Zhang Youxia
    Zhang Youxia is a senior Chinese general and influential military leader who serves as one of the top commanders in the People's Liberation Army.
  • C. Li Xiannian
    Li Xiannian was a prominent Chinese Communist revolutionary and politician who served as President of the People’s Republic of China from 1983 to 1988.
  • D. Jiang Xiaoyu
    Jiang Xiaoyu is a Chinese sports official and event organizer best known for helping oversee and produce major ceremonies for the 2008 Beijing Olympic Games.
  • E. Zhang Yuting
    Zhang Yuting is a Chinese short track speed skater known for competing at the international level, including major championships and multi-sport events.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zhang Xinyi
Triple: [The Flowers of War, castMember, Zhang Xinyi]
Generated description
Zhang Xinyi is a Chinese actress known for her film and television roles, including a supporting part in the historical drama "The Flowers of War."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhang Xinyi
Target entity description: Zhang Xinyi is a Chinese actress known for her film and television roles, including a supporting part in the historical drama "The Flowers of War."
  • A. Zeng Xinying
    Zeng Xinying is a Taiwanese businesswoman best known as the wife of Foxconn founder and billionaire Terry Gou.
  • B. Zhang Youxia
    Zhang Youxia is a senior Chinese general and influential military leader who serves as one of the top commanders in the People's Liberation Army.
  • C. Li Xiannian
    Li Xiannian was a prominent Chinese Communist revolutionary and politician who served as President of the People’s Republic of China from 1983 to 1988.
  • D. Jiang Xiaoyu
    Jiang Xiaoyu is a Chinese sports official and event organizer best known for helping oversee and produce major ceremonies for the 2008 Beijing Olympic Games.
  • E. Zhang Yuting
    Zhang Yuting is a Chinese short track speed skater known for competing at the international level, including major championships and multi-sport events.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a034998e08081909bb8b9711002486f completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034b0817408190817e4a3ee0003d57 completed May 12, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_6a034bdf5c808190ac329e663e220f1b completed May 12, 2026, 3:48 p.m.
Created at: April 10, 2026, 10:10 a.m.