Triple
T18572398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Tan See Leng |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tan See Leng | Statement: [Raffles Institution, hasAlumnus, Tan See Leng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tan See Leng Context triple: [Raffles Institution, hasAlumnus, Tan See Leng]
-
A.
Tan Kin Lian
Tan Kin Lian is a Singaporean businessman and former chief executive of NTUC Income who is also known for his involvement in public advocacy and politics, including a run for the Singapore presidency.
-
B.
Chan Sek Keong
Chan Sek Keong is a prominent Singaporean jurist who served as the country’s third Chief Justice and played a key role in shaping its modern legal system.
-
C.
Tan Chorh Chuan
Tan Chorh Chuan is a Singaporean physician and academic leader who served as President of the National University of Singapore and has held key roles in the country’s higher education and healthcare systems.
-
D.
Liang Eng Hwa
Liang Eng Hwa is a Singaporean politician who has served as a Member of Parliament, representing constituencies under the People's Action Party.
-
E.
Tony Tan Keng Yam
Tony Tan Keng Yam is a Singaporean politician and former President of Singapore who previously served as Deputy Prime Minister and held several key ministerial portfolios.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tan See Leng Target entity description: Tan See Leng is a Singaporean politician and medical doctor who serves as the country's Minister for Manpower.
-
A.
Tan Kin Lian
Tan Kin Lian is a Singaporean businessman and former chief executive of NTUC Income who is also known for his involvement in public advocacy and politics, including a run for the Singapore presidency.
-
B.
Chan Sek Keong
Chan Sek Keong is a prominent Singaporean jurist who served as the country’s third Chief Justice and played a key role in shaping its modern legal system.
-
C.
Tan Chorh Chuan
Tan Chorh Chuan is a Singaporean physician and academic leader who served as President of the National University of Singapore and has held key roles in the country’s higher education and healthcare systems.
-
D.
Liang Eng Hwa
Liang Eng Hwa is a Singaporean politician who has served as a Member of Parliament, representing constituencies under the People's Action Party.
-
E.
Tony Tan Keng Yam
Tony Tan Keng Yam is a Singaporean politician and former President of Singapore who previously served as Deputy Prime Minister and held several key ministerial portfolios.
- F. None of above. chosen
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.