Triple
T18572408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Sidek Saniff
Sidek Saniff is a Singaporean politician who served as a long-time Member of Parliament and office-holder in the ruling People's Action Party.
|
E1331384
|
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: Sidek Saniff | Statement: [Raffles Institution, hasAlumnus, Sidek Saniff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidek Saniff Context triple: [Raffles Institution, hasAlumnus, Sidek Saniff]
-
A.
Simon Njoo
Simon Njoo is a film editor best known for his work on the acclaimed Australian horror film "The Babadook."
-
B.
Jero Rai
Jero Rai is a subgroup of the Rai community, an indigenous ethnic group from the Himalayan region of Nepal.
-
C.
Sinan Leong
Sinan Leong is a vocalist known for her work with the contemporary music ensemble SPK.
-
D.
Daren Kagasoff
Daren Kagasoff is an American actor best known for his starring role as Ricky Underwood on the teen drama series "The Secret Life of the American Teenager."
-
E.
Taha Niwas
Taha Niwas is a historic residence associated with the Afzal Mahal complex, reflecting the architectural and cultural heritage of its period.
- 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: Sidek Saniff Triple: [Raffles Institution, hasAlumnus, Sidek Saniff]
Generated description
Sidek Saniff is a Singaporean politician who served as a long-time Member of Parliament and office-holder in the ruling People's Action Party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sidek Saniff Target entity description: Sidek Saniff is a Singaporean politician who served as a long-time Member of Parliament and office-holder in the ruling People's Action Party.
-
A.
Simon Njoo
Simon Njoo is a film editor best known for his work on the acclaimed Australian horror film "The Babadook."
-
B.
Jero Rai
Jero Rai is a subgroup of the Rai community, an indigenous ethnic group from the Himalayan region of Nepal.
-
C.
Sinan Leong
Sinan Leong is a vocalist known for her work with the contemporary music ensemble SPK.
-
D.
Daren Kagasoff
Daren Kagasoff is an American actor best known for his starring role as Ricky Underwood on the teen drama series "The Secret Life of the American Teenager."
-
E.
Taha Niwas
Taha Niwas is a historic residence associated with the Afzal Mahal complex, reflecting the architectural and cultural heritage of its period.
- 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.