Triple
T919537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alibaba Group |
E19850
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object |
Eddie Wu
Eddie Wu is a Chinese technology executive best known as a senior leader at Alibaba Group, including serving as its CEO.
|
E111256
|
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: Eddie Wu | Statement: [Alibaba Group, hasKeyPerson, Eddie Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Wu Context triple: [Alibaba Group, hasKeyPerson, Eddie Wu]
-
A.
Eddie Wu
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
-
B.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
C.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
D.
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."
-
E.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
- 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: Eddie Wu Triple: [Alibaba Group, hasKeyPerson, Eddie Wu]
Generated description
Eddie Wu is a Chinese technology executive best known as a senior leader at Alibaba Group, including serving as its CEO.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eddie Wu Target entity description: Eddie Wu is a Chinese technology executive best known as a senior leader at Alibaba Group, including serving as its CEO.
-
A.
Eddie Wu
chosen
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
-
B.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
C.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
D.
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."
-
E.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
- F. None of above.
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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3103bf48190af3f8d8b2d0fe918 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac119792d48190b5e942f2dd3fd34e |
completed | March 7, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69ac132c299c81909b8189496181c9d2 |
completed | March 7, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac13c91d808190a1c872fd8d61fb20 |
completed | March 7, 2026, 12:02 p.m. |
Created at: March 1, 2026, 7:40 p.m.