Triple
T8210800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ren Zhengfei |
E191810
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Meng Wanzhou
Meng Wanzhou is a Chinese business executive who serves as the chief financial officer and deputy chairwoman of Huawei Technologies.
|
E719552
|
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: Meng Wanzhou | Statement: [Ren Zhengfei, child, Meng Wanzhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meng Wanzhou Context triple: [Ren Zhengfei, child, Meng Wanzhou]
-
A.
Eugenia Yuan
Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
-
B.
Liu Qin
Liu Qin was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
-
C.
Cassandra Wong
Cassandra Wong is a charismatic, talented rock singer and bassist best known as Wayne Campbell’s love interest in the "Wayne’s World" films.
-
D.
Ben Ling
Ben Ling is a prominent technology investor and entrepreneur known for his leadership roles at major tech companies and his work as a general partner at venture capital firms.
-
E.
Wei Fang
Wei Fang is a skilled young warrior and central character in the film "Crouching Tiger, Hidden Dragon: Sword of Destiny," whose conflicted loyalties and past drive much of the story’s drama.
- 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: Meng Wanzhou Triple: [Ren Zhengfei, child, Meng Wanzhou]
Generated description
Meng Wanzhou is a Chinese business executive who serves as the chief financial officer and deputy chairwoman of Huawei Technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meng Wanzhou Target entity description: Meng Wanzhou is a Chinese business executive who serves as the chief financial officer and deputy chairwoman of Huawei Technologies.
-
A.
Eugenia Yuan
Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
-
B.
Liu Qin
Liu Qin was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
-
C.
Cassandra Wong
Cassandra Wong is a charismatic, talented rock singer and bassist best known as Wayne Campbell’s love interest in the "Wayne’s World" films.
-
D.
Ben Ling
Ben Ling is a prominent technology investor and entrepreneur known for his leadership roles at major tech companies and his work as a general partner at venture capital firms.
-
E.
Wei Fang
Wei Fang is a skilled young warrior and central character in the film "Crouching Tiger, Hidden Dragon: Sword of Destiny," whose conflicted loyalties and past drive much of the story’s drama.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dd881c8190adcbeb2f33d3295c |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccede2e4f481908edca856038772d3 |
completed | April 1, 2026, 10:05 a.m. |
| NEDg | Description generation | batch_69ccf1ba74548190831677bb126bea1a |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05c2059081908bd04ee4722f9aad |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:44 p.m.