Triple

T16957581
Position Surface form Disambiguated ID Type / Status
Subject Singapore Management University School of Law E411344 entity
Predicate namedAfter P63 FINISHED
Object Yong Pung How E454588 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: Yong Pung How | Statement: [Singapore Management University School of Law, namedAfter, Yong Pung How]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yong Pung How
Context triple: [Singapore Management University School of Law, namedAfter, Yong Pung How]
  • A. Yong Pung How chosen
    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.
  • B. 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.
  • C. Koh Jee Leong
    Koh Jee Leong is a Singapore-born, New York–based poet and essayist known for his explorations of identity, sexuality, and diaspora in contemporary literature.
  • D. Soo Beng Kiang
    Soo Beng Kiang is a former Malaysian badminton player best known as a top men's doubles specialist in the 1990s.
  • E. Tan Tock Seng
    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.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01d34d08190a73ce48e9988bd97 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4666f14819095fc3bcf5e459b61 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.