Triple

T5982117
Position Surface form Disambiguated ID Type / Status
Subject Vo E133143 entity
Predicate hasNotableBearer P458 FINISHED
Object Võ Phiến
Võ Phiến was a prominent Vietnamese writer and essayist known for his reflective prose and contributions to modern Vietnamese literature, particularly in exile.
 E566253 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 Phiến | Statement: [Vo, hasNotableBearer, Võ Phiến]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Võ Phiến
Context triple: [Vo, hasNotableBearer, Võ Phiến]
  • A. Ngo Kien Huy
    Ngo Kien Huy is a Vietnamese pop singer, actor, and television host known for his energetic performances and appearances in popular entertainment shows.
  • B. Võ Hồng Phúc
    Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
  • C. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • D. 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.
  • E. Võ Huy Toàn
    Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
  • 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 Phiến
Triple: [Vo, hasNotableBearer, Võ Phiến]
Generated description
Võ Phiến was a prominent Vietnamese writer and essayist known for his reflective prose and contributions to modern Vietnamese literature, particularly in exile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Võ Phiến
Target entity description: Võ Phiến was a prominent Vietnamese writer and essayist known for his reflective prose and contributions to modern Vietnamese literature, particularly in exile.
  • A. Ngo Kien Huy
    Ngo Kien Huy is a Vietnamese pop singer, actor, and television host known for his energetic performances and appearances in popular entertainment shows.
  • B. Võ Hồng Phúc
    Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
  • C. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • D. 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.
  • E. Võ Huy Toàn
    Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
  • 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_69c11cd3988c8190aecc690a02c26c25 completed March 23, 2026, 10:58 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:04 p.m.