Triple

T5941544
Position Surface form Disambiguated ID Type / Status
Subject Bảo Đại E132175 entity
Predicate child P120 FINISHED
Object Phương Mai
Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
 E555365 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: Phương Mai | Statement: [Bảo Đại, child, Phương Mai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phương Mai
Context triple: [Bảo Đại, child, Phương Mai]
  • A. Quỳnh Mai Ward
    Quỳnh Mai Ward is an urban administrative ward located within Hai Bà Trưng District in Hanoi, Vietnam.
  • B. 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.
  • C. Nguyễn Thị Mai Anh
    Nguyễn Thị Mai Anh was the First Lady of South Vietnam during the presidency of her husband Nguyễn Văn Thiệu and was known for her charitable and social work.
  • D. Xuân La Ward
    Xuân La Ward is an urban administrative subdivision of Tây Hồ District in Hanoi, Vietnam.
  • E. Trinh Tran
    Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
  • 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: Phương Mai
Triple: [Bảo Đại, child, Phương Mai]
Generated description
Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phương Mai
Target entity description: Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
  • A. Quỳnh Mai Ward
    Quỳnh Mai Ward is an urban administrative ward located within Hai Bà Trưng District in Hanoi, Vietnam.
  • B. 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.
  • C. Nguyễn Thị Mai Anh
    Nguyễn Thị Mai Anh was the First Lady of South Vietnam during the presidency of her husband Nguyễn Văn Thiệu and was known for her charitable and social work.
  • D. Xuân La Ward
    Xuân La Ward is an urban administrative subdivision of Tây Hồ District in Hanoi, Vietnam.
  • E. Trinh Tran
    Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
  • 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.