Triple

T18599831
Position Surface form Disambiguated ID Type / Status
Subject Yong Pung How E454588 entity
Predicate child P120 FINISHED
Object Yong Ying-I
Yong Ying-I is the daughter of the late Yong Pung How, a prominent Singaporean banker and former Chief Justice.
E1333460 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: Yong Ying-I | Statement: [Yong Pung How, child, Yong Ying-I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yong Ying-I
Context triple: [Yong Pung How, child, Yong Ying-I]
  • A. Kar-ying
    Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
  • B. Soo Yong
    Soo Yong was a Chinese-American actress known for her roles in early Hollywood films, including the 1937 adaptation of "The Good Earth."
  • C. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • D. Hung Yan-yan
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • E. Wei Ling Soo
    Wei Ling Soo is the stage persona of a skeptical English magician in Woody Allen's film "Magic in the Moonlight," under which he performs as a famed Chinese illusionist.
  • 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: Yong Ying-I
Triple: [Yong Pung How, child, Yong Ying-I]
Generated description
Yong Ying-I is the daughter of the late Yong Pung How, a prominent Singaporean banker and former Chief Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yong Ying-I
Target entity description: Yong Ying-I is the daughter of the late Yong Pung How, a prominent Singaporean banker and former Chief Justice.
  • A. Kar-ying
    Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
  • B. Soo Yong
    Soo Yong was a Chinese-American actress known for her roles in early Hollywood films, including the 1937 adaptation of "The Good Earth."
  • C. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • D. Hung Yan-yan
    Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
  • E. Wei Ling Soo
    Wei Ling Soo is the stage persona of a skeptical English magician in Woody Allen's film "Magic in the Moonlight," under which he performs as a famed Chinese illusionist.
  • 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_6a050381bacc81909f416e8b9910f046 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504ff8c6c8190a211b3f3e30229b4 completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505606bf88190afe635b2517d170b completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:45 a.m.