Triple

T15591336
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Jinxian
Teng Jinxian is a Chinese film director and screenwriter known for his contributions to contemporary Chinese cinema.
E1172914 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: Teng Jinxian | Statement: [Teng, hasNotableBearer, Teng Jinxian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Jinxian
Context triple: [Teng, hasNotableBearer, Teng Jinxian]
  • A. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • B. Xue Jianyue
    Xue Jianyue is a person notable for bearing the Chinese surname Xue.
  • C. Lei Yixin
    Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
  • D. Xue Zhiqin
    Xue Zhiqin is a notable individual bearing the Chinese surname Xue, recognized for contributions significant enough to be distinctly recorded under this name.
  • E. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • 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: Teng Jinxian
Triple: [Teng, hasNotableBearer, Teng Jinxian]
Generated description
Teng Jinxian is a Chinese film director and screenwriter known for his contributions to contemporary Chinese cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teng Jinxian
Target entity description: Teng Jinxian is a Chinese film director and screenwriter known for his contributions to contemporary Chinese cinema.
  • A. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • B. Xue Jianyue
    Xue Jianyue is a person notable for bearing the Chinese surname Xue.
  • C. Lei Yixin
    Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
  • D. Xue Zhiqin
    Xue Zhiqin is a notable individual bearing the Chinese surname Xue, recognized for contributions significant enough to be distinctly recorded under this name.
  • E. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7563674c81908b035a7672b2827d completed May 9, 2026, 5:56 p.m.
NEDg Description generation batch_69ff762c0c548190a80392e1e83f68cc completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76fbcd188190b431bf277304aeea completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:11 a.m.