Triple

T18599795
Position Surface form Disambiguated ID Type / Status
Subject Yong Pung How E454588 entity
Predicate givenName P17 FINISHED
Object Pung How
Pung How is the given name of Yong Pung How, a prominent Singaporean judge and former Chief Justice.
 E1334798 NE FINISHED

How this triple was built (4 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: Pung How | Statement: [Yong Pung How, givenName, Pung How]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pung How
Context triple: [Yong Pung How, givenName, Pung How]
  • A. Chow Chung
    Chow Chung was a Hong Kong actor known for his supporting roles in numerous Cantonese films and television dramas from the mid-20th century.
  • B. Chee-hwa
    Chee-hwa is the given name of Tung Chee-hwa, the first Chief Executive of the Hong Kong Special Administrative Region after its 1997 handover to China.
  • C. Fong Lim
    Fong Lim is an electoral division in the Northern Territory of Australia, represented in the Northern Territory Legislative Assembly.
  • D. Thai Lee
    Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
  • E. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pung How
Triple: [Yong Pung How, givenName, Pung How]
Generated description
Pung How is the given name of Yong Pung How, a prominent Singaporean judge and former Chief Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pung How
Target entity description: Pung How is the given name of Yong Pung How, a prominent Singaporean judge and former Chief Justice.
  • A. Chow Chung
    Chow Chung was a Hong Kong actor known for his supporting roles in numerous Cantonese films and television dramas from the mid-20th century.
  • B. Chee-hwa
    Chee-hwa is the given name of Tung Chee-hwa, the first Chief Executive of the Hong Kong Special Administrative Region after its 1997 handover to China.
  • C. Fong Lim
    Fong Lim is an electoral division in the Northern Territory of Australia, represented in the Northern Territory Legislative Assembly.
  • D. Thai Lee
    Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
  • E. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • F. None of above. chosen

Provenance (5 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5475018548190a2f497081af7ce55 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d6eb92c8190aa0c1f4eb0deb5cb completed May 13, 2026, 11:46 p.m.
NEDg Description generation batch_6a050e04ebd881909120edb46168fbcb completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050e6112e88190a399cf58ea6c8401 completed May 13, 2026, 11:50 p.m.
Created at: April 10, 2026, 11:45 a.m.