Triple

T21619336
Position Surface form Disambiguated ID Type / Status
Subject Madame Nhu E533533 entity
Predicate givenName P17 FINISHED
Object Lệ Xuân 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: Lệ Xuân | Statement: [Madame Nhu, givenName, Lệ Xuân]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lệ Xuân
Context triple: [Madame Nhu, givenName, Lệ Xuân]
  • A. Trần Lệ Xuân chosen
    Trần Lệ Xuân, better known as Madame Nhu, was the influential and controversial de facto First Lady of South Vietnam during the early 1960s and a powerful political figure in the Ngô Đình Diệm regime.
  • B. Bùi Thị Xuân
    Bùi Thị Xuân was a renowned Vietnamese female general and national heroine who fought against the Tây Sơn dynasty’s enemies in the late 18th and early 19th centuries.
  • C. Hoang Minh Thao
    Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
  • D. Trinh Hoi Quan
    Trinh Hoi Quan is an individual known primarily for being a notable bearer of the surname Quan.
  • E. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bad094c8190879d4aef7988254a completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.