Triple
T7959813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liwen Shao |
E184832
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Liwen
Liwen is a given name commonly used in Chinese-speaking communities for both males and females.
|
E704071
|
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: Liwen | Statement: [Liwen Shao, givenName, Liwen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liwen Context triple: [Liwen Shao, givenName, Liwen]
-
A.
Linzi
Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
-
B.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
C.
Lingling
Lingling is an ancient Chinese city and former administrative region whose name historically referred to what is now Yongzhou in Hunan Province.
-
D.
Yu Shu Lien
Yu Shu Lien is a highly skilled and honorable Wudang warrior and swordswoman from the Crouching Tiger, Hidden Dragon series, known for her discipline, loyalty, and restrained romantic longing.
-
E.
Shanshan
Shanshan was an ancient oasis kingdom in the eastern Tarim Basin, known for its role as a Silk Road crossroads and its mix of Indo-European and Chinese cultural influences.
- 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: Liwen Triple: [Liwen Shao, givenName, Liwen]
Generated description
Liwen is a given name commonly used in Chinese-speaking communities for both males and females.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liwen Target entity description: Liwen is a given name commonly used in Chinese-speaking communities for both males and females.
-
A.
Linzi
Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
-
B.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
C.
Lingling
Lingling is an ancient Chinese city and former administrative region whose name historically referred to what is now Yongzhou in Hunan Province.
-
D.
Yu Shu Lien
Yu Shu Lien is a highly skilled and honorable Wudang warrior and swordswoman from the Crouching Tiger, Hidden Dragon series, known for her discipline, loyalty, and restrained romantic longing.
-
E.
Shanshan
Shanshan was an ancient oasis kingdom in the eastern Tarim Basin, known for its role as a Silk Road crossroads and its mix of Indo-European and Chinese cultural influences.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8136448190890f007fb4fb7625 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe07d31a881909e891fdd73c4467b |
completed | March 31, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69cbe554dfd881909edf2c20a7035f17 |
completed | March 31, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3429f4148190981d30c3cc4c3c9a |
completed | March 31, 2026, 8:52 p.m. |
Created at: March 30, 2026, 5:12 p.m.