Triple

T5941543
Position Surface form Disambiguated ID Type / Status
Subject Bảo Đại E132175 entity
Predicate child P120 FINISHED
Object Bảo Thắng
Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
 E555364 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: Bảo Thắng | Statement: [Bảo Đại, child, Bảo Thắng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bảo Thắng
Context triple: [Bảo Đại, child, Bảo Thắng]
  • A. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • B. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • C. Dang Bich Ha
    Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
  • D. Vân Đình
    Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
  • E. Duong Van Minh
    Duong Van Minh was a South Vietnamese general and the last president of South Vietnam, known for surrendering to North Vietnamese forces during the Fall of Saigon in 1975.
  • 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: Bảo Thắng
Triple: [Bảo Đại, child, Bảo Thắng]
Generated description
Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bảo Thắng
Target entity description: Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • A. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • B. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • C. Dang Bich Ha
    Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
  • D. Vân Đình
    Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
  • E. Duong Van Minh
    Duong Van Minh was a South Vietnamese general and the last president of South Vietnam, known for surrendering to North Vietnamese forces during the Fall of Saigon in 1975.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c039346a7c81908d94081b666e1d79 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c079dfe4819097598ec1f564e810 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c154b148819099d6f601e3a542aa completed March 23, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1df5b1c8190824d40d7f24c60cd completed March 23, 2026, 4:30 a.m.
Created at: March 22, 2026, 4:01 p.m.