Triple

T1454197
Position Surface form Disambiguated ID Type / Status
Subject Huynh Tan Phat E31360 entity
Predicate givenName P17 FINISHED
Object Tan Phat E31360 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: Tan Phat | Statement: [Huynh Tan Phat, givenName, Tan Phat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Phat
Context triple: [Huynh Tan Phat, givenName, Tan Phat]
  • A. Huynh Tan Phat chosen
    Huynh Tan Phat was a Vietnamese architect, revolutionary, and communist politician who played a key leadership role in the Viet Cong and later in the government of reunified Vietnam.
  • B. Van Tien Dung
    Van Tien Dung was a Vietnamese general who served as the chief military strategist for North Vietnam and led the final offensive that ended the Vietnam War.
  • C. Kao Kim Hourn
    Kao Kim Hourn is a Cambodian diplomat and academic who serves as the Secretary-General of the Association of Southeast Asian Nations (ASEAN).
  • D. Duong Van Minh
    Duong Van Minh was a South Vietnamese general and the last president of South Vietnam, known for surrendering to North Vietnamese forces during the Fall of Saigon in 1975.
  • E. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57fead881909a47188ce7312406 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e71ffd481909dfd0f77201dc17c completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8 p.m.