Triple

T18572382
Position Surface form Disambiguated ID Type / Status
Subject Raffles Institution E453901 entity
Predicate hasAlumnus P51 FINISHED
Object Grace Fu NE NERFINISHED

How this triple was built (3 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: Grace Fu | Statement: [Raffles Institution, hasAlumnus, Grace Fu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace Fu
Context triple: [Raffles Institution, hasAlumnus, Grace Fu]
  • A. Shih Ming-teh
    Shih Ming-teh is a prominent Taiwanese democracy activist and politician who became a leading figure in the opposition movement against Kuomintang rule and later a key leader in Taiwan’s pro-independence camp.
  • B. Yuen Shun-yi
    Yuen Shun-yi is a Hong Kong martial arts actor and action choreographer known for his roles in classic kung fu films, particularly those associated with the Yuen family and Sammo Hung.
  • C. Margaret Chan
    Margaret Chan is a Chinese-Canadian physician and public health administrator best known for serving as Director-General of the World Health Organization from 2006 to 2017.
  • D. Donald Tsang
    Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
  • E. Leung Chai-yan
    Leung Chai-yan is the daughter of former Hong Kong Chief Executive Leung Chun-ying, known locally for her outspoken social media presence and occasional public controversies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grace Fu
Target entity description: Grace Fu is a Singaporean politician who has served as a cabinet minister and Member of Parliament, known for being one of the country's prominent female political leaders.
  • A. Shih Ming-teh
    Shih Ming-teh is a prominent Taiwanese democracy activist and politician who became a leading figure in the opposition movement against Kuomintang rule and later a key leader in Taiwan’s pro-independence camp.
  • B. Yuen Shun-yi
    Yuen Shun-yi is a Hong Kong martial arts actor and action choreographer known for his roles in classic kung fu films, particularly those associated with the Yuen family and Sammo Hung.
  • C. Margaret Chan
    Margaret Chan is a Chinese-Canadian physician and public health administrator best known for serving as Director-General of the World Health Organization from 2006 to 2017.
  • D. Donald Tsang
    Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
  • E. Leung Chai-yan
    Leung Chai-yan is the daughter of former Hong Kong Chief Executive Leung Chun-ying, known locally for her outspoken social media presence and occasional public controversies.
  • F. None of above. chosen

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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b032488819098de683bb5c42c4b completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.