Triple

T17641090
Position Surface form Disambiguated ID Type / Status
Subject Min (Chinese surname) E429227 entity
Predicate hasNotableBearer P458 FINISHED
Object Min Lulei
Min Lulei is a Chinese basketball coach and former player best known for coaching the Beijing Ducks in the Chinese Basketball Association.
E1278797 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: Min Lulei | Statement: [Min (Chinese surname), hasNotableBearer, Min Lulei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Min Lulei
Context triple: [Min (Chinese surname), hasNotableBearer, Min Lulei]
  • A. Peng Lei
    Peng Lei is a Chinese business executive best known as one of the co-founders of Alibaba Group and a key figure in its early development.
  • B. Ye Li
    Ye Li is a retired Chinese women's basketball player best known as the wife of former NBA star Yao Ming.
  • C. Liu Li
    Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
  • D. Xue Ming
    Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
  • E. Luyu Yang
    Luyu Yang is an entrepreneur best known as a co-founder of the short-form video platform Musical.ly, which later merged into TikTok.
  • 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: Min Lulei
Triple: [Min (Chinese surname), hasNotableBearer, Min Lulei]
Generated description
Min Lulei is a Chinese basketball coach and former player best known for coaching the Beijing Ducks in the Chinese Basketball Association.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Min Lulei
Target entity description: Min Lulei is a Chinese basketball coach and former player best known for coaching the Beijing Ducks in the Chinese Basketball Association.
  • A. Peng Lei
    Peng Lei is a Chinese business executive best known as one of the co-founders of Alibaba Group and a key figure in its early development.
  • B. Ye Li
    Ye Li is a retired Chinese women's basketball player best known as the wife of former NBA star Yao Ming.
  • C. Liu Li
    Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
  • D. Xue Ming
    Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
  • E. Luyu Yang
    Luyu Yang is an entrepreneur best known as a co-founder of the short-form video platform Musical.ly, which later merged into TikTok.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de50bf481909e938613b38f0202 completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020aa7be948190bf0ab64a2908d3b1 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b51c208819083b1634221929628 completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bd466d881909ffdfe3cf932b980 completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 6:02 a.m.