Triple

T18572309
Position Surface form Disambiguated ID Type / Status
Subject Raffles Institution E453901 entity
Predicate hasAlumnus P51 FINISHED
Object Tan Tock Seng 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: Tan Tock Seng | Statement: [Raffles Institution, hasAlumnus, Tan Tock Seng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Tock Seng
Context triple: [Raffles Institution, hasAlumnus, Tan Tock Seng]
  • A. Tan Tock Seng chosen
    Tan Tock Seng was a prominent 19th-century Singaporean philanthropist and businessman best known for funding and establishing one of Singapore’s earliest major hospitals that now bears his name.
  • B. Yong Pung How
    Yong Pung How was a prominent Singaporean jurist and banker who served as the country's second Chief Justice and played a key role in modernizing its judiciary.
  • C. Lee Kong Chian
    Lee Kong Chian was a prominent Chinese businessman and philanthropist from Singapore and Southeast Asia, known for his major contributions to education and public institutions.
  • D. Kok Keong
    Kok Keong is a given name most notably associated with Foo Kok Keong, a former Malaysian badminton player renowned for his fighting spirit and defensive play.
  • E. Goh Sin Tub
    Goh Sin Tub was a prominent Singaporean writer and educator known for his short stories and contributions to Singapore’s literary development.
  • 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_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.