Triple

T7505286
Position Surface form Disambiguated ID Type / Status
Subject Lê Hồng Phong E177371 entity
Predicate givenName P17 FINISHED
Object Hồng Phong E177371 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: Hồng Phong | Statement: [Lê Hồng Phong, givenName, Hồng Phong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hồng Phong
Context triple: [Lê Hồng Phong, givenName, Hồng Phong]
  • A. Lê Khả Phiêu
    Lê Khả Phiêu was a Vietnamese politician who served as General Secretary of the Communist Party of Vietnam from 1997 to 2001.
  • B. Linh Song
    Linh Song is a Vietnamese American nonprofit and civic leader known for her work in community development and public service in Ann Arbor, Michigan.
  • C. Lê Hồng Phong chosen
    Lê Hồng Phong was a prominent Vietnamese revolutionary leader and early general secretary of the Indochinese Communist Party who played a key role in the anti-colonial struggle against French rule.
  • D. Trương Đình Dzu
    Trương Đình Dzu was a South Vietnamese lawyer and politician known for his outspoken advocacy of peace negotiations during the Vietnam War and his controversial candidacy in the 1967 presidential election.
  • E. Luo Feng-ping
    Luo Feng-ping is a Taiwanese public figure who served as First Lady of the Republic of China, accompanying and supporting the presidency through official and ceremonial duties.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b4c83c8190ace59f4d9e271904 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9dcc2881908eea4efe075e894d completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.