Triple
T20566556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zisi |
E504979
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object | 子思 |
—
|
NE NERFINISHED |
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: 子思 | Statement: [Zisi, courtesyName, 子思]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 子思 Context triple: [Zisi, courtesyName, 子思]
-
A.
子思
chosen
子思 was an ancient Chinese philosopher, the grandson of Confucius, known for helping to systematize and transmit early Confucian thought.
-
B.
子路
子路 was a prominent disciple of Confucius known for his bravery, straightforward character, and emphasis on practical action in Confucian thought.
-
C.
周公
周公是中国西周初期著名的政治家和思想家，被视为制礼作乐、奠定周朝制度与儒家礼治传统的关键人物之一。
-
D.
Mencius
Mencius is a foundational Confucian text recording the teachings and dialogues of the philosopher Mencius, emphasizing the innate goodness of human nature and moral governance.
-
E.
Xunzi
Xunzi was an influential ancient Chinese Confucian philosopher known for his belief in the inherent badness of human nature and the necessity of ritual and education to cultivate virtue.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a33f7c8190966da03528dfe8aa |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.