Triple

T10868776
Position Surface form Disambiguated ID Type / Status
Subject Peng Shuai E256596 entity
Predicate givenName P17 FINISHED
Object Shuai
Shuai is the given name of Peng Shuai, a Chinese professional tennis player known for her success in doubles, including winning Grand Slam titles.
E890624 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: Shuai | Statement: [Peng Shuai, givenName, Shuai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shuai
Context triple: [Peng Shuai, givenName, Shuai]
  • A. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • B. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • C. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • D. Shaowu
    Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
  • E. Shen
    Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
  • 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: Shuai
Triple: [Peng Shuai, givenName, Shuai]
Generated description
Shuai is the given name of Peng Shuai, a Chinese professional tennis player known for her success in doubles, including winning Grand Slam titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shuai
Target entity description: Shuai is the given name of Peng Shuai, a Chinese professional tennis player known for her success in doubles, including winning Grand Slam titles.
  • A. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • B. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • C. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • D. Shaowu
    Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
  • E. Shen
    Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75170665881909944f92c2cdbe7e6 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d9ce3c8190afeb2a27fb82b594 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e03cc71a4c81909147945dff371217 completed April 16, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69e03dfb02c4819087a697ba7f5a1135 completed April 16, 2026, 1:40 a.m.
Created at: April 8, 2026, 9:20 p.m.