Triple
T23020393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Xiangmei |
E573147
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Xiangmei |
—
|
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: Xiangmei | Statement: [Chen Xiangmei, givenName, Xiangmei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiangmei Context triple: [Chen Xiangmei, givenName, Xiangmei]
-
A.
Xiangmei
chosen
Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
-
B.
Guangmei
Guangmei is a Chinese given name, notably borne by Wang Guangmei, the influential political figure and wife of former Chinese president Liu Shaoqi.
-
C.
Xingqing
Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
-
D.
Xuefei
Xuefei is the Chinese given name of Ha Jin, the acclaimed Chinese-American novelist and poet known for works such as "Waiting."
-
E.
Hua Xiu
Hua Xiu is a fictional character known as the daughter of Hua Zhou in the Chinese drama "Story of Yanxi Palace."
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e8324c81908b8868d298af66e1 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.