Triple
T4975631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He (surname) |
E111757
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
He Yiting
He Yiting is a notable individual bearing the Chinese surname He, recognized for their prominence in contemporary Chinese society.
|
E484688
|
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 Yiting | Statement: [He (surname), hasNotableBearer, He Yiting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Yiting Context triple: [He (surname), hasNotableBearer, He Yiting]
-
A.
Hung Yan-yan
Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
-
B.
Tang Yifei
Tang Yifei is a Chinese actress known for her roles in television dramas and films.
-
C.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
-
D.
Zhang Ruji
Zhang Ruji was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs in China.
-
E.
Ma Yili
Ma Yili is a Chinese actress known for her prominent roles in television dramas and films, as well as her influence in contemporary Chinese entertainment.
- 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 Yiting Triple: [He (surname), hasNotableBearer, He Yiting]
Generated description
He Yiting is a notable individual bearing the Chinese surname He, recognized for their prominence in contemporary Chinese society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Yiting Target entity description: He Yiting is a notable individual bearing the Chinese surname He, recognized for their prominence in contemporary Chinese society.
-
A.
Hung Yan-yan
Hung Yan-yan is a Hong Kong martial artist, actor, and action choreographer known for his work in classic kung fu and action films.
-
B.
Tang Yifei
Tang Yifei is a Chinese actress known for her roles in television dramas and films.
-
C.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
-
D.
Zhang Ruji
Zhang Ruji was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs in China.
-
E.
Ma Yili
Ma Yili is a Chinese actress known for her prominent roles in television dramas and films, as well as her influence in contemporary Chinese entertainment.
- 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_69be8a01e548819087e3a6ae2cd581b9 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8c193f2c8190a220ffc2571bcb64 |
completed | March 21, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8c6723f08190b0e722dbb1171173 |
completed | March 21, 2026, 12:17 p.m. |
Created at: March 20, 2026, 1:33 p.m.