Triple
T4975624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He (surname) |
E111757
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
He Jiong
He Jiong is a prominent Chinese television host, singer, actor, and director best known for hosting the long-running variety show "Happy Camp."
|
E509984
|
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: He Jiong | Statement: [He (surname), hasNotableBearer, He Jiong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Jiong Context triple: [He (surname), hasNotableBearer, He Jiong]
-
A.
Bao Xinhe
Bao Xinhe is a Chinese physical chemist and academic leader known for his research in catalysis and for serving as president of the University of Science and Technology of China.
-
B.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
-
C.
Hui Xiong
Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
-
D.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
-
E.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
- 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: He Jiong Triple: [He (surname), hasNotableBearer, He Jiong]
Generated description
He Jiong is a prominent Chinese television host, singer, actor, and director best known for hosting the long-running variety show "Happy Camp."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Jiong Target entity description: He Jiong is a prominent Chinese television host, singer, actor, and director best known for hosting the long-running variety show "Happy Camp."
-
A.
Bao Xinhe
Bao Xinhe is a Chinese physical chemist and academic leader known for his research in catalysis and for serving as president of the University of Science and Technology of China.
-
B.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
-
C.
Hui Xiong
Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
-
D.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
-
E.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7230086c81909c045614721bd89f |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10b0ec0c8190bcd4503dd09667c7 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf117894d481909817346060a28d07 |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1267a0a88190a558937fa7776ed7 |
completed | March 21, 2026, 9:49 p.m. |
Created at: March 20, 2026, 1:33 p.m.