Triple

T23485120
Position Surface form Disambiguated ID Type / Status
Subject Nguyễn Thị Kim Ngân E570513 entity
Predicate name P16 FINISHED
Object Nguyễn Thị Kim Ngân NE NERFINISHED

How this triple was built (2 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: Nguyễn Thị Kim Ngân | Statement: [Nguyễn Thị Kim Ngân, name, Nguyễn Thị Kim Ngân]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nguyễn Thị Kim Ngân
Context triple: [Nguyễn Thị Kim Ngân, name, Nguyễn Thị Kim Ngân]
  • A. Nguyễn Thị Kim Ngân chosen
    Nguyễn Thị Kim Ngân is a Vietnamese politician who served as the first female Chairwoman of the National Assembly of Vietnam.
  • B. Nguyễn Cao Kỳ Duyên
    Nguyễn Cao Kỳ Duyên is a Vietnamese-American lawyer and television personality best known as a longtime co-host of the popular Paris By Night musical variety show.
  • C. Lê Thị Nham
    Lê Thị Nham was a consort of Emperor Đồng Khánh of the Nguyễn dynasty in late 19th-century Vietnam.
  • D. Do Thi Hai Yen
    Do Thi Hai Yen is a Vietnamese actress best known internationally for her acclaimed role in the 2002 film adaptation of "The Quiet American."
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7538a8c8190b7effcc39a3f9787 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.