Triple

T23366259
Position Surface form Disambiguated ID Type / Status
Subject Võ Văn Hải E593330 entity
Predicate hasFamilyName P18 FINISHED
Object 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: Võ | Statement: [Võ Văn Hải, hasFamilyName, Võ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Võ
Context triple: [Võ Văn Hải, hasFamilyName, Võ]
  • A. chosen
    Võ is a common Vietnamese surname shared by many notable figures in politics, military history, arts, and sports.
  • B. Vovin
    Vovin is a surname most notably associated with Alexander Vovin, a prominent linguist and specialist in East Asian historical languages.
  • C. Vokil
    Vokil was a medieval Bulgarian ruling dynasty that succeeded the Dulo clan as the leadership of the early Bulgarian state.
  • D. Van Dinh
    Van Dinh is a small town in northern Vietnam that serves as the administrative and commercial center of Ung Hoa District in Hanoi.
  • E. Vokoun
    Vokoun is a Czech surname most notably associated with former NHL goaltender Tomáš Vokoun.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ac7494819082e98ac5632eba28 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:31 p.m.