Triple
T3509904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai Hesen |
E74170
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cai Hesen |
E74170
|
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: Cai Hesen | Statement: [Cai Hesen, name, Cai Hesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cai Hesen Context triple: [Cai Hesen, name, Cai Hesen]
-
A.
Cai Hesen
chosen
Cai Hesen was a prominent early Chinese Communist theorist and revolutionary leader who played a key role in shaping the ideological foundations of the Chinese Communist Party.
-
B.
Chen Qimei
Chen Qimei was an influential early Chinese revolutionary leader and close ally of Sun Yat-sen who played a key role in the overthrow of the Qing dynasty.
-
C.
Nie Shicheng
Nie Shicheng was a late Qing dynasty Chinese general known for his role in the First Sino-Japanese War and his efforts to modernize and lead imperial forces during a period of military and political upheaval.
-
D.
Cui Hao
Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
-
E.
Bao Xinhe
Bao Xinhe is a Chinese physical chemist and academic leader known for his research in catalysis and for serving as president of the University of Science and Technology of China.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0e1f0c8190b054d9fba16ce4b3 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c620ee881908cd766212ee037cb |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 8, 2026, 3:18 p.m.