Triple
T18572373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Baey Yam Keng
Baey Yam Keng is a Singaporean politician and Member of Parliament known for his roles in government and public service.
|
E1331370
|
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: Baey Yam Keng | Statement: [Raffles Institution, hasAlumnus, Baey Yam Keng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baey Yam Keng Context triple: [Raffles Institution, hasAlumnus, Baey Yam Keng]
-
A.
Meung Yum
Meung Yum is a subgroup of the Waic peoples, an ethnolinguistic group in Southeast Asia.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Yamaka
Yamaka is a canonical text in the Theravāda Abhidhamma that analyzes doctrinal concepts through paired questions and answers to clarify subtle distinctions in Buddhist philosophy.
-
D.
Ko Yao
Ko Yao is a tranquil pair of islands in southern Thailand known for their unspoiled beaches, traditional fishing villages, and laid-back atmosphere in Phang Nga Bay.
-
E.
Baiyeku
Baiyeku is a town in Lagos State, Nigeria, situated within the Igbogbo-Baiyeku Local Council Development Area of Ikorodu.
- 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: Baey Yam Keng Triple: [Raffles Institution, hasAlumnus, Baey Yam Keng]
Generated description
Baey Yam Keng is a Singaporean politician and Member of Parliament known for his roles in government and public service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baey Yam Keng Target entity description: Baey Yam Keng is a Singaporean politician and Member of Parliament known for his roles in government and public service.
-
A.
Meung Yum
Meung Yum is a subgroup of the Waic peoples, an ethnolinguistic group in Southeast Asia.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Yamaka
Yamaka is a canonical text in the Theravāda Abhidhamma that analyzes doctrinal concepts through paired questions and answers to clarify subtle distinctions in Buddhist philosophy.
-
D.
Ko Yao
Ko Yao is a tranquil pair of islands in southern Thailand known for their unspoiled beaches, traditional fishing villages, and laid-back atmosphere in Phang Nga Bay.
-
E.
Baiyeku
Baiyeku is a town in Lagos State, Nigeria, situated within the Igbogbo-Baiyeku Local Council Development Area of Ikorodu.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b032488819098de683bb5c42c4b |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f886f2e88190bf01061cb793c0ab |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9511eb08190952be765862cd1ab |
completed | May 13, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9dd338881908b300bab7947f736 |
completed | May 13, 2026, 10:23 p.m. |
Created at: April 10, 2026, 11:43 a.m.