Triple
T15833150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of the Mainland Affairs Council |
E383920
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Joseph Wu
Joseph Wu is a Taiwanese politician and diplomat who has served in key roles managing Taiwan’s relations with China and its broader foreign affairs.
|
E1182148
|
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: Joseph Wu | Statement: [Minister of the Mainland Affairs Council, officeHoldersInclude, Joseph Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Wu Context triple: [Minister of the Mainland Affairs Council, officeHoldersInclude, Joseph Wu]
-
A.
Leonard Wu
Leonard Wu is an American actor known for his roles in film and television, including a notable appearance in the thriller "While She Was Out."
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Stephen Wang
Stephen Wang is an entrepreneur best known as a co-founder of the film and television review aggregation website Rotten Tomatoes.
-
D.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
-
E.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
- 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: Joseph Wu Triple: [Minister of the Mainland Affairs Council, officeHoldersInclude, Joseph Wu]
Generated description
Joseph Wu is a Taiwanese politician and diplomat who has served in key roles managing Taiwan’s relations with China and its broader foreign affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Wu Target entity description: Joseph Wu is a Taiwanese politician and diplomat who has served in key roles managing Taiwan’s relations with China and its broader foreign affairs.
-
A.
Leonard Wu
Leonard Wu is an American actor known for his roles in film and television, including a notable appearance in the thriller "While She Was Out."
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Stephen Wang
Stephen Wang is an entrepreneur best known as a co-founder of the film and television review aggregation website Rotten Tomatoes.
-
D.
Edward Wang
Edward Wang is an entrepreneur best known as a founder of the virtualization and cloud computing company VMware.
-
E.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e653e388190a4696cdb22546715 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffad397f44819094cb48b209cb7476 |
completed | May 9, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffad9529e481909c0be1aac918ae2e |
completed | May 9, 2026, 9:56 p.m. |
Created at: April 10, 2026, 4:49 a.m.