Triple

T9239480
Position Surface form Disambiguated ID Type / Status
Subject Truong Chinh E222021 entity
Predicate hasPseudonym P3799 FINISHED
Object Nam Xuan E222021 NE FINISHED

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: Nam Xuan | Statement: [Truong Chinh, hasPseudonym, Nam Xuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nam Xuan
Context triple: [Truong Chinh, hasPseudonym, Nam Xuan]
  • A. Nam Xuan chosen
    Nam Xuan is a pseudonym used by Truong Chinh, a prominent Vietnamese communist leader and theorist who played a key role in the country’s revolutionary movement and early government.
  • B. Ngo Kien Huy
    Ngo Kien Huy is a Vietnamese pop singer, actor, and television host known for his energetic performances and appearances in popular entertainment shows.
  • C. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • D. Ngo Tuan Anh
    Ngo Tuan Anh is a Vietnamese individual notable enough to be recognized as a prominent bearer of the surname Ngo.
  • E. Tran Le Xuan
    Tran Le Xuan, better known as Madame Nhu, was the influential and controversial de facto First Lady of South Vietnam during the early 1960s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf0a1e49081909c188f1e1e87039b completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077db03048190b9c1f0812da21733 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.