Triple
T8942980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cao Kun |
E212948
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cao |
E728555
|
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 | Statement: [Cao Kun, familyName, Cao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cao Context triple: [Cao Kun, familyName, Cao]
-
A.
Cao
chosen
Cao is a Vietnamese surname commonly borne by individuals of Vietnamese and Chinese heritage.
-
B.
Cai
Cai is a common Chinese surname shared by numerous individuals, including the contemporary artist Cai Guo-Qiang.
-
C.
Cai
Cai is a figure from early Welsh Arthurian tradition who served as the prototype for the later literary character Sir Kay.
-
D.
Gao
Gao is a historic city in eastern Mali that served as a major trading center and former capital of the Songhai Empire along the Niger River.
-
E.
Gao
Gao is a Chinese surname historically associated with the Jewish community of Kaifeng, one of the oldest Jewish diasporas in 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66d93978819084b1a5c7c5dd2372 |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1f418708190b1272209f61e3a51 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.