Triple
T4975636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He (surname) |
E111757
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
He Saifei
He Saifei is a Chinese actress known for her roles in acclaimed films and television dramas, particularly in period and art-house cinema.
|
E484692
|
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 Saifei | Statement: [He (surname), hasNotableBearer, He Saifei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Saifei Context triple: [He (surname), hasNotableBearer, He Saifei]
-
A.
Huangjian
Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
B.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
C.
Fa Li
Fa Li is Mulan’s caring and traditional mother in Disney’s 1998 animated film, providing comic relief and emotional support within the Fa family.
-
D.
Gao Yin
Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
-
E.
Sun Hao
Sun Hao was the last emperor of Eastern Wu during China’s Three Kingdoms period, known for his tyrannical rule and the eventual fall of his state to the Jin dynasty.
- 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 Saifei Triple: [He (surname), hasNotableBearer, He Saifei]
Generated description
He Saifei is a Chinese actress known for her roles in acclaimed films and television dramas, particularly in period and art-house cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Saifei Target entity description: He Saifei is a Chinese actress known for her roles in acclaimed films and television dramas, particularly in period and art-house cinema.
-
A.
Huangjian
Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
B.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
C.
Fa Li
Fa Li is Mulan’s caring and traditional mother in Disney’s 1998 animated film, providing comic relief and emotional support within the Fa family.
-
D.
Gao Yin
Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
-
E.
Sun Hao
Sun Hao was the last emperor of Eastern Wu during China’s Three Kingdoms period, known for his tyrannical rule and the eventual fall of his state to the Jin dynasty.
- 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.