Triple

T21150444
Position Surface form Disambiguated ID Type / Status
Subject Vincent Siew E521172 entity
Predicate name P16 FINISHED
Object Vincent Siew 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: Vincent Siew | Statement: [Vincent Siew, name, Vincent Siew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Siew
Context triple: [Vincent Siew, name, Vincent Siew]
  • A. Vincent Siew chosen
    Vincent Siew is a Taiwanese politician who served as Premier and later as Vice President of the Republic of China (Taiwan), playing a key role in the island’s economic and cross-strait policy development.
  • B. Vince Cheung
    Vince Cheung is a television writer and producer best known for his work on Disney Channel series such as "Wizards of Waverly Place."
  • C. Victor Wong
    Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
  • D. Vincent Tan
    Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
  • E. Stephen Wong
    Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.