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.