Triple
T18572307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Yong Pung How |
—
|
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: Yong Pung How | Statement: [Raffles Institution, hasAlumnus, Yong Pung How]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yong Pung How Context triple: [Raffles Institution, hasAlumnus, 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 (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.