Triple

T4293515
Position Surface form Disambiguated ID Type / Status
Subject Zhu E99651 entity
Predicate hasNotableBearer P458 FINISHED
Object Zhu Ting
Zhu Ting is a Chinese professional volleyball player widely regarded as one of the best outside hitters in the world and a key figure in China’s national team successes.
 E428314 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: Zhu Ting | Statement: [Zhu, hasNotableBearer, Zhu Ting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhu Ting
Context triple: [Zhu, hasNotableBearer, Zhu Ting]
  • A. Peng Shuai
    Peng Shuai is a Chinese professional tennis player known for her success in doubles, including reaching world No. 1 and winning multiple Grand Slam titles.
  • B. Wu Minxia
    Wu Minxia is a Chinese diver and multiple Olympic gold medalist renowned for her dominance in synchronized and springboard diving events.
  • C. Li Na
    Li Na is the daughter of Mao Zedong and Jiang Qing, known primarily for her connection to China’s former top leadership during the Mao era.
  • D. Hung Yan-yan
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • E. Wu Lei
    Wu Lei is a prominent Chinese actor and former child star known for his roles in popular television dramas and films.
  • 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: Zhu Ting
Triple: [Zhu, hasNotableBearer, Zhu Ting]
Generated description
Zhu Ting is a Chinese professional volleyball player widely regarded as one of the best outside hitters in the world and a key figure in China’s national team successes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhu Ting
Target entity description: Zhu Ting is a Chinese professional volleyball player widely regarded as one of the best outside hitters in the world and a key figure in China’s national team successes.
  • A. Peng Shuai
    Peng Shuai is a Chinese professional tennis player known for her success in doubles, including reaching world No. 1 and winning multiple Grand Slam titles.
  • B. Wu Minxia
    Wu Minxia is a Chinese diver and multiple Olympic gold medalist renowned for her dominance in synchronized and springboard diving events.
  • C. Li Na
    Li Na is the daughter of Mao Zedong and Jiang Qing, known primarily for her connection to China’s former top leadership during the Mao era.
  • D. Hung Yan-yan
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • E. Wu Lei
    Wu Lei is a prominent Chinese actor and former child star known for his roles in popular television dramas and films.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35082228081908504e3fd7c4ca1e8 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c73d47448190a844bc13eae84a54 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7d04508819087b14c5c86f1e015 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c84ccea08190a8e7e8fa93934ea2 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:08 p.m.