Triple
T146423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xAI |
E3339
|
entity |
| Predicate | hasTeamMember |
P7184
|
FINISHED |
| Object |
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
|
E18341
|
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: Tony Wu | Statement: [xAI, hasTeamMember, Tony Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Wu Context triple: [xAI, hasTeamMember, Tony Wu]
-
A.
Joe Tsai
Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
-
B.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
C.
Hannibal Chau
Hannibal Chau is a flamboyant black-market dealer in kaiju organs from the film "Pacific Rim," known for his eccentric style and shady charisma.
-
D.
Peng Chun Chang
Peng Chun Chang was a Chinese diplomat, philosopher, and educator who played a key role in shaping the philosophical foundations of the Universal Declaration of Human Rights.
-
E.
T.H. Chan
T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
- 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: Tony Wu Triple: [xAI, hasTeamMember, Tony Wu]
Generated description
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Wu Target entity description: Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
A.
Joe Tsai
Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
-
B.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
C.
Hannibal Chau
Hannibal Chau is a flamboyant black-market dealer in kaiju organs from the film "Pacific Rim," known for his eccentric style and shady charisma.
-
D.
Peng Chun Chang
Peng Chun Chang was a Chinese diplomat, philosopher, and educator who played a key role in shaping the philosophical foundations of the Universal Declaration of Human Rights.
-
E.
T.H. Chan
T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bab43608190ba5ebfbee6b5b6e4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c939ea148190984dfd347b12d136 |
completed | Feb. 28, 2026, 10:53 a.m. |
| NEDg | Description generation | batch_69a2c99aa5348190a710ede093b2d1d7 |
completed | Feb. 28, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c9f070788190aa96892ffdc58569 |
completed | Feb. 28, 2026, 10:56 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.