Triple

T7724267
Position Surface form Disambiguated ID Type / Status
Subject Ma Lin E175089 entity
Predicate nativeName P15 FINISHED
Object 马琳
马琳是一位中国著名乒乓球运动员和教练,曾多次获得奥运会和世锦赛冠军。
E684457 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: 马琳 | Statement: [Ma Lin, nativeName, 马琳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 马琳
Context triple: [Ma Lin, nativeName, 马琳]
  • A. Chen Xiangmei
    Chen Xiangmei, better known as Anna Chennault, was a prominent Chinese-American journalist, Republican political operative, and influential figure in U.S.–China relations during the Cold War.
  • B. Yang Jinyu
    Yang Jinyu was a Chinese military figure and graduate of the Yunnan Military Academy who became notable for his role in early 20th-century Chinese military and political affairs.
  • C. Wu Minxia
    Wu Minxia is a Chinese diver and multiple Olympic gold medalist renowned for her dominance in synchronized and springboard diving events.
  • D. Guo Jingjing
    Guo Jingjing is a retired Chinese diver, widely regarded as one of the greatest female springboard divers in history and a multiple Olympic and world champion.
  • E. Zhang Huiwen
    Zhang Huiwen is a Chinese actress best known for her breakout role in Zhang Yimou’s film "Coming Home," which brought her widespread recognition.
  • 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: 马琳
Triple: [Ma Lin, nativeName, 马琳]
Generated description
马琳是一位中国著名乒乓球运动员和教练,曾多次获得奥运会和世锦赛冠军。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 马琳
Target entity description: 马琳是一位中国著名乒乓球运动员和教练,曾多次获得奥运会和世锦赛冠军。
  • A. Chen Xiangmei
    Chen Xiangmei, better known as Anna Chennault, was a prominent Chinese-American journalist, Republican political operative, and influential figure in U.S.–China relations during the Cold War.
  • B. Yang Jinyu
    Yang Jinyu was a Chinese military figure and graduate of the Yunnan Military Academy who became notable for his role in early 20th-century Chinese military and political affairs.
  • C. Wu Minxia
    Wu Minxia is a Chinese diver and multiple Olympic gold medalist renowned for her dominance in synchronized and springboard diving events.
  • D. Guo Jingjing
    Guo Jingjing is a retired Chinese diver, widely regarded as one of the greatest female springboard divers in history and a multiple Olympic and world champion.
  • E. Zhang Huiwen
    Zhang Huiwen is a Chinese actress best known for her breakout role in Zhang Yimou’s film "Coming Home," which brought her widespread recognition.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b74ee6d081908454b2d4774a3a7b completed March 29, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7af4c58819097360e89e7ea6062 completed March 29, 2026, 5:25 a.m.
Created at: March 27, 2026, 4:05 p.m.