Triple

T20534757
Position Surface form Disambiguated ID Type / Status
Subject Văn Cao E504162 entity
Predicate hasChild P369 FINISHED
Object Văn Giáng
Văn Giáng is a child of the renowned Vietnamese composer and songwriter Văn Cao.
E1435391 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: Văn Giáng | Statement: [Văn Cao, hasChild, Văn Giáng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Văn Giáng
Context triple: [Văn Cao, hasChild, Văn Giáng]
  • A. Hoàng Diệu
    Hoàng Diệu was a 19th-century Vietnamese mandarin and governor of Hanoi, renowned for his staunch resistance against French colonial forces and his patriotic martyrdom.
  • B. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • C. Văn Minh
    Văn Minh is the given name of Dương Văn Minh, a South Vietnamese general and the last president of South Vietnam.
  • D. Chau Thanh
    Chau Thanh is a rural district-level town in Vietnam’s Kien Giang Province, known for its agricultural landscape and proximity to the Mekong Delta region.
  • E. Đức Giang
    Đức Giang is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • 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: Văn Giáng
Triple: [Văn Cao, hasChild, Văn Giáng]
Generated description
Văn Giáng is a child of the renowned Vietnamese composer and songwriter Văn Cao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Văn Giáng
Target entity description: Văn Giáng is a child of the renowned Vietnamese composer and songwriter Văn Cao.
  • A. Hoàng Diệu
    Hoàng Diệu was a 19th-century Vietnamese mandarin and governor of Hanoi, renowned for his staunch resistance against French colonial forces and his patriotic martyrdom.
  • B. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • C. Văn Minh
    Văn Minh is the given name of Dương Văn Minh, a South Vietnamese general and the last president of South Vietnam.
  • D. Chau Thanh
    Chau Thanh is a rural district-level town in Vietnam’s Kien Giang Province, known for its agricultural landscape and proximity to the Mekong Delta region.
  • E. Đức Giang
    Đức Giang is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06df04081908fa95c6214f06093 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d4c1a2c8190a8d6d6e19e67942f completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089e1dc3048190abb1c0bad8d4a3ed completed May 16, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_6a089ea8b9808190a20982193eaf9e22 completed May 16, 2026, 4:43 p.m.
Created at: April 16, 2026, 11:37 a.m.