Triple
T8407306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cao Rui |
E198530
|
entity |
| Predicate | adoptedSon |
P10183
|
FINISHED |
| Object | Cao Fang |
E730205
|
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: Cao Fang | Statement: [Cao Rui, adoptedSon, Cao Fang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cao Fang Context triple: [Cao Rui, adoptedSon, Cao Fang]
-
A.
Cao Fang
chosen
Cao Fang was an emperor of the state of Cao Wei during China’s Three Kingdoms period, known for being a child ruler dominated by powerful regents such as Sima Yi.
-
B.
Cao Huan
Cao Huan was the final emperor of the Cao Wei state during China’s Three Kingdoms period, under whose reign Wei was ultimately usurped by the Jin dynasty.
-
C.
Cao Xue
Cao Xue is a Chinese designer best known as the creator of Bing Dwen Dwen, the panda mascot of the Beijing 2022 Winter Olympics.
-
D.
Gao Yin
Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
-
E.
Sima Yan
Sima Yan was the founding emperor of the Jin dynasty in China, known for ending the Three Kingdoms period by unifying the realm after overthrowing the state of Cao Wei.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb831409308190981089c303ebaef4 |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6cdb3b48819091c554539e74812a |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6:05 p.m.