Triple
T12408829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yan Zhengzai |
E296459
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Kong He |
E256604
|
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: Kong He | Statement: [Yan Zhengzai, hasRelative, Kong He]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kong He Context triple: [Yan Zhengzai, hasRelative, Kong He]
-
A.
Kong He
chosen
Kong He was the father of the ancient Chinese philosopher Confucius and a minor aristocratic military officer in the state of Lu.
-
B.
Kong Ji
Kong Ji was a Chinese philosopher of the late Spring and Autumn period, the grandson of Confucius, traditionally regarded as the author of the Confucian classic "Doctrine of the Mean."
-
C.
Kong Anguo
Kong Anguo was an early Han dynasty Confucian scholar and reputed descendant of Confucius, best known for his influential work on recovering and interpreting ancient classical texts.
-
D.
Kong Mun
Kong Mun is the Cantonese name for Jiangmen, a prefecture-level city in Guangdong Province, China, known historically as a major source of overseas Chinese emigration.
-
E.
Koh Tsu Koon
Koh Tsu Koon is a Malaysian politician and former Chief Minister of Penang who later served as a federal minister.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efe60388190944fe3226be4cc7c |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.