Triple

T17749230
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Triad E443069 entity
Predicate editor P1954 FINISHED
Object Duan Yueheng
Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
E1353039 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: Duan Yueheng | Statement: [Shanghai Triad, editor, Duan Yueheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duan Yueheng
Context triple: [Shanghai Triad, editor, Duan Yueheng]
  • A. Deng Hua
    Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
  • B. Duan Siping
    Duan Siping was the founding emperor of the Dali Kingdom in what is now Yunnan, China, establishing a dynasty that ruled the region from the 10th to the 13th century.
  • C. Li Dongsheng
    Li Dongsheng is a prominent Chinese business executive best known as the founder and chairman of the electronics company TCL Corporation.
  • D. Deng Xiansheng
    Deng Xiansheng is the birth name of Deng Xiaoping, the paramount Chinese leader who led major economic reforms and opening-up policies in the late 20th century.
  • E. Yuan Jiahua
    Yuan Jiahua was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Chinese languages.
  • 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: Duan Yueheng
Triple: [Shanghai Triad, editor, Duan Yueheng]
Generated description
Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duan Yueheng
Target entity description: Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
  • A. Deng Hua
    Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
  • B. Duan Siping
    Duan Siping was the founding emperor of the Dali Kingdom in what is now Yunnan, China, establishing a dynasty that ruled the region from the 10th to the 13th century.
  • C. Li Dongsheng
    Li Dongsheng is a prominent Chinese business executive best known as the founder and chairman of the electronics company TCL Corporation.
  • D. Deng Xiansheng
    Deng Xiansheng is the birth name of Deng Xiaoping, the paramount Chinese leader who led major economic reforms and opening-up policies in the late 20th century.
  • E. Yuan Jiahua
    Yuan Jiahua was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Chinese languages.
  • 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_6a05b43afd688190b53765906953c6db completed May 14, 2026, 11:38 a.m.
NEDg Description generation batch_6a05b611d5e88190b9dfd0fce0c0f199 completed May 14, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a05b69a76dc8190a9ccd3869adb6b4f completed May 14, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:10 a.m.