Triple
T17075094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocesan Boys’ School |
E414326
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Adrian Wong
Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
|
E1309890
|
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 Wong | Statement: [Diocesan Boys’ School, hasAlumnus, Adrian Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrian Wong Context triple: [Diocesan Boys’ School, hasAlumnus, Adrian Wong]
-
A.
Adrian Lau
Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
-
B.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
C.
Alan Leong
Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
-
D.
Kenny Wong
Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
-
E.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
- 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 Wong Triple: [Diocesan Boys’ School, hasAlumnus, Adrian Wong]
Generated description
Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adrian Wong Target entity description: Adrian Wong is a Hong Kong actor and television personality known for his work in local dramas and variety shows.
-
A.
Adrian Lau
Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
-
B.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
C.
Alan Leong
Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
-
D.
Kenny Wong
Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
-
E.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc47808819088a4ca039689b213 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038f9f8e088190b72b9124b0fc82de |
completed | May 12, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_6a0390f74f10819092abd35c20ae8bda |
completed | May 12, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0392d99fd48190a71d937bdfeb512c |
completed | May 12, 2026, 8:51 p.m. |
Created at: April 10, 2026, 5:34 a.m.