Triple

T10917030
Position Surface form Disambiguated ID Type / Status
Subject Michelle Yeoh E257849 entity
Predicate previousSpouse P493 FINISHED
Object Dickson Poon E694354 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: Dickson Poon | Statement: [Michelle Yeoh, previousSpouse, Dickson Poon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dickson Poon
Context triple: [Michelle Yeoh, previousSpouse, Dickson Poon]
  • A. Dickson Poon chosen
    Dickson Poon is a Hong Kong entrepreneur and philanthropist best known for founding the luxury retail group Dickson Concepts and for his major charitable contributions to higher education.
  • B. Eddy Choong
    Eddy Choong was a legendary Malaysian badminton player renowned for his multiple All England titles in the 1950s and his pioneering role in the sport’s international rise.
  • C. Russell Wong
    Russell Wong is an American actor and martial artist best known for his roles in action films and television series, often portraying skilled fighters or law enforcement characters.
  • D. Chan Kwong-wing
    Chan Kwong-wing is a Hong Kong film composer best known for his scores for acclaimed movies such as the Infernal Affairs trilogy.
  • E. Savio Kwan
    Savio Kwan is a business executive best known for his leadership roles at Alibaba Group, where he helped guide the company’s early growth and international expansion.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707deb608190903b1066e19600d3 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216fca9f48190b02e8c13b8f428bf completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.