Triple

T19588520
Position Surface form Disambiguated ID Type / Status
Subject Hoàng Xuân Lãm E470166 entity
Predicate familyName P18 FINISHED
Object Hoàng 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: Hoàng | Statement: [Hoàng Xuân Lãm, familyName, Hoàng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoàng
Context triple: [Hoàng Xuân Lãm, familyName, Hoàng]
  • A. Hoang chosen
    Hoang is a Vietnamese given name and surname, often romanized from the Chinese surname Huang and widely used in Vietnam and among the Vietnamese diaspora.
  • B. Huang
    Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
  • C. Nguyễn Hoàng
    Nguyễn Hoàng was a 16th–17th century Vietnamese lord of the Nguyễn family who established his power base in central Vietnam and laid the foundations for the later Nguyễn dynasty.
  • D. Phụng Hoàng
    Phụng Hoàng is the Vietnamese name for the Phoenix Program, a covert U.S.-led intelligence and counterinsurgency operation targeting the Viet Cong during the Vietnam War.
  • E. Hoan
    Hoan is a surname most notably associated with Daniel Hoan, a long-serving Socialist mayor of Milwaukee in the early 20th century.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64054299481908d83c85cefdab075 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.