Triple

T4357675
Position Surface form Disambiguated ID Type / Status
Subject Norman Chan E98589 entity
Predicate name P16 FINISHED
Object Norman Chan Tak-lam E98589 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: Norman Chan Tak-lam | Statement: [Norman Chan, name, Norman Chan Tak-lam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Chan Tak-lam
Context triple: [Norman Chan, name, Norman Chan Tak-lam]
  • A. Norman Chan chosen
    Norman Chan is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
  • B. Chan Yik-shun
    Chan Yik-shun is the birth name of Eason Chan, a highly acclaimed Hong Kong singer and actor regarded as one of the leading figures in contemporary Cantopop.
  • C. Gerald Chan
    Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
  • D. Wu Tsing-fong
    Wu Tsing-fong is a Taiwanese singer-songwriter best known as the lead vocalist and primary songwriter of the indie band Sodagreen.
  • E. Donald Tsang
    Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c7fa1881908bdc844a7142eb65 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbcb6188190a8a4da6a080f0d61 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.