Triple
T20566515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhongyong |
E504978
|
entity |
| Predicate | traditionallyAttributedTo |
P6838
|
FINISHED |
| Object | Zisi |
—
|
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: Zisi | Statement: [Zhongyong, traditionallyAttributedTo, Zisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zisi Context triple: [Zhongyong, traditionallyAttributedTo, Zisi]
-
A.
Zisi
chosen
Zisi was an early Confucian philosopher, the grandson of Confucius, known for developing and transmitting key ideas in Confucian moral and metaphysical thought.
-
B.
Feizi
Feizi was an early Chinese nobleman of the Zhou dynasty who established the lineage that would become the powerful State of Qin and later unify China under the Qin dynasty.
-
C.
Zhizhi
Zhizhi was the era name used during the brief reign of Gegeen Khan, a Yuan dynasty emperor of the early 14th century.
-
D.
Kushi
Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
-
E.
Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
- 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.