Triple
T7959814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liwen Shao |
E184832
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shao |
E174489
|
NE FINISHED |
How this triple was built (2 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: Shao | Statement: [Liwen Shao, familyName, Shao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shao Context triple: [Liwen Shao, familyName, Shao]
-
A.
Shaowu
Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
-
B.
Xue
chosen
Xue is a Chinese surname borne by various notable historical and contemporary figures.
-
C.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
D.
Shuo Fu
Shuo Fu is a chapter of the Daoist classic Liezi, traditionally attributed to the philosopher Lie Yukou and known for its collection of philosophical anecdotes and parables.
-
E.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 30, 2026, 5:12 p.m.