Triple
T3339299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yu Minhong |
E70219
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Michael Yu
Michael Yu is a prominent Chinese entrepreneur and educator best known as the founder of New Oriental Education & Technology Group, one of China’s largest private education providers.
|
E349065
|
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: Michael Yu | Statement: [Yu Minhong, name, Michael Yu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Yu Context triple: [Yu Minhong, name, Michael Yu]
-
A.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
-
D.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
E.
James Zhou
James Zhou is a Chinese businessman best known as the owner and chairman of French football club AJ Auxerre.
- 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: Michael Yu Triple: [Yu Minhong, name, Michael Yu]
Generated description
Michael Yu is a prominent Chinese entrepreneur and educator best known as the founder of New Oriental Education & Technology Group, one of China’s largest private education providers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Yu Target entity description: Michael Yu is a prominent Chinese entrepreneur and educator best known as the founder of New Oriental Education & Technology Group, one of China’s largest private education providers.
-
A.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Michael Chan
Michael Chan is a common personal name shared by multiple individuals across fields such as politics, business, and entertainment.
-
D.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
E.
James Zhou
James Zhou is a Chinese businessman best known as the owner and chairman of French football club AJ Auxerre.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bd6c7c8190b7229de1433d8d20 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ccc408190bae65d2d1a4d77bd |
completed | March 12, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69b31aded5808190afbe4ae3ddb70428 |
completed | March 12, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31c4665c081908d96878fc257fb76 |
completed | March 12, 2026, 8:04 p.m. |
Created at: March 8, 2026, 3:12 p.m.