Triple
T18572299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Adrian Tan
Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
|
E1333537
|
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: Adrian Tan | Statement: [Raffles Institution, hasAlumnus, Adrian Tan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrian Tan Context triple: [Raffles Institution, hasAlumnus, Adrian Tan]
-
A.
Adam Tan
Adam Tan is a Chinese business executive best known as a top leader of the HNA Group conglomerate.
-
B.
Gabriel Goh
Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
-
C.
Vincent Tan
Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
-
D.
Adrian Wong
Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
-
E.
Adrian Lau
Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
- 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: Adrian Tan Triple: [Raffles Institution, hasAlumnus, Adrian Tan]
Generated description
Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adrian Tan Target entity description: Adrian Tan was a prominent Singaporean lawyer and author best known for his satirical novels and leadership in the legal community.
-
A.
Adam Tan
Adam Tan is a Chinese business executive best known as a top leader of the HNA Group conglomerate.
-
B.
Gabriel Goh
Gabriel Goh is a machine learning researcher known for his work at OpenAI, including co-developing the CLIP model for connecting images and text.
-
C.
Vincent Tan
Vincent Tan is a Malaysian billionaire businessman and investor best known for owning multiple football clubs, including Cardiff City FC, and for founding the Berjaya Corporation conglomerate.
-
D.
Adrian Wong
Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
-
E.
Adrian Lau
Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
- 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_6a0503761830819088f36a34e377ff49 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a050537da5481908da9209410986124 |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505e91794819086506a77ef287645 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 11:43 a.m.