Triple

T22779983
Position Surface form Disambiguated ID Type / Status
Subject Võ Huy Toàn E563808 entity
Predicate givenName P17 FINISHED
Object Huy Toàn 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: Huy Toàn | Statement: [Võ Huy Toàn, givenName, Huy Toàn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huy Toàn
Context triple: [Võ Huy Toàn, givenName, Huy Toàn]
  • A. Võ Huy Toàn chosen
    Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
  • 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. Vo Toan
    Vo Toan is a Vietnamese architect best known for designing the Mausoleum of Mohammed V in Rabat, Morocco.
  • 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. Lê Đại Hành
    Lê Đại Hành was the founding emperor of Vietnam’s Early Lê dynasty, known for consolidating royal power and successfully defending the country against Song Chinese invasions in the late 10th 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b63d348819085668e3d9ac78ffa completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.