Triple

T18572360
Position Surface form Disambiguated ID Type / Status
Subject Raffles Institution E453901 entity
Predicate hasAlumnus P51 FINISHED
Object Tan Jee Say 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: Tan Jee Say | Statement: [Raffles Institution, hasAlumnus, Tan Jee Say]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Jee Say
Context triple: [Raffles Institution, hasAlumnus, Tan Jee Say]
  • A. Tan Chorh Chuan
    Tan Chorh Chuan is a Singaporean physician and academic leader who served as President of the National University of Singapore and has held key roles in the country’s higher education and healthcare systems.
  • B. Tan Cheng Bock
    Tan Cheng Bock is a Singaporean medical doctor and veteran politician best known for his long service as a Member of Parliament and for contesting the Singapore presidential election.
  • C. Goh Swee Chen
    Goh Swee Chen is a Singaporean business leader known for her senior executive roles in multinational corporations and contributions to corporate governance and public service.
  • D. Chew Chee Kin
    Chew Chee Kin is a prominent Malaysian business executive known for his leadership role within the diversified conglomerate Sunway Group.
  • E. Chan Sek Keong
    Chan Sek Keong is a prominent Singaporean jurist who served as the country’s third Chief Justice and played a key role in shaping its modern legal system.
  • 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: Tan Jee Say
Target entity description: Tan Jee Say is a Singaporean politician, former civil servant, and investment manager known for his opposition roles and candidacy in Singapore’s presidential and general elections.
  • A. Tan Chorh Chuan
    Tan Chorh Chuan is a Singaporean physician and academic leader who served as President of the National University of Singapore and has held key roles in the country’s higher education and healthcare systems.
  • B. Tan Cheng Bock
    Tan Cheng Bock is a Singaporean medical doctor and veteran politician best known for his long service as a Member of Parliament and for contesting the Singapore presidential election.
  • C. Goh Swee Chen
    Goh Swee Chen is a Singaporean business leader known for her senior executive roles in multinational corporations and contributions to corporate governance and public service.
  • D. Chew Chee Kin
    Chew Chee Kin is a prominent Malaysian business executive known for his leadership role within the diversified conglomerate Sunway Group.
  • E. Chan Sek Keong
    Chan Sek Keong is a prominent Singaporean jurist who served as the country’s third Chief Justice and played a key role in shaping its modern legal system.
  • 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.