Triple

T5982116
Position Surface form Disambiguated ID Type / Status
Subject Vo E133143 entity
Predicate hasNotableBearer P458 FINISHED
Object Võ Quốc Thắng
Võ Quốc Thắng is a Vietnamese businessman best known as a leading figure in the domestic football scene and as chairman of Đồng Tâm Long An Football Club.
E591953 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: Võ Quốc Thắng | Statement: [Vo, hasNotableBearer, Võ Quốc Thắng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Võ Quốc Thắng
Context triple: [Vo, hasNotableBearer, Võ Quốc Thắng]
  • A. Võ Hồng Phúc
    Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
  • B. Võ Chí Công
    Võ Chí Công was a prominent Vietnamese revolutionary and politician who served as Chairman of the State Council (head of state) of Vietnam from 1987 to 1992.
  • C. Võ Văn Hoàn
    Võ Văn Hoàn is a Vietnamese politician who has served as a vice chairman of the Ho Chi Minh City People's Committee.
  • D. Võ Huy Toàn
    Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
  • E. Ngo Thanh Van
    Ngo Thanh Van is a Vietnamese actress, model, and film producer best known internationally for her roles in action films such as "The Rebel" and "Star Wars: The Last Jedi."
  • 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: Võ Quốc Thắng
Triple: [Vo, hasNotableBearer, Võ Quốc Thắng]
Generated description
Võ Quốc Thắng is a Vietnamese businessman best known as a leading figure in the domestic football scene and as chairman of Đồng Tâm Long An Football Club.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Võ Quốc Thắng
Target entity description: Võ Quốc Thắng is a Vietnamese businessman best known as a leading figure in the domestic football scene and as chairman of Đồng Tâm Long An Football Club.
  • A. Võ Hồng Phúc
    Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
  • B. Võ Chí Công
    Võ Chí Công was a prominent Vietnamese revolutionary and politician who served as Chairman of the State Council (head of state) of Vietnam from 1987 to 1992.
  • C. Võ Văn Hoàn
    Võ Văn Hoàn is a Vietnamese politician who has served as a vice chairman of the Ho Chi Minh City People's Committee.
  • D. Võ Huy Toàn
    Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
  • E. Ngo Thanh Van
    Ngo Thanh Van is a Vietnamese actress, model, and film producer best known internationally for her roles in action films such as "The Rebel" and "Star Wars: The Last Jedi."
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6921b081908a6f6323d5c7a062 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6409a1b588190a963b0f6944ba22c completed March 27, 2026, 8:32 a.m.
NEDg Description generation batch_69c64142633c819094c3bbdabd8f7951 completed March 27, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69c641c3d3188190bcf6bede4c90dc9d completed March 27, 2026, 8:37 a.m.
Created at: March 22, 2026, 4:04 p.m.