Triple
T1454284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lê |
E31362
|
entity |
| Predicate | sharesOriginWith |
P3438
|
FINISHED |
| Object | Chinese surname Li (李) |
E81602
|
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: Chinese surname Li (李) | Statement: [Lê, sharesOriginWith, Chinese surname Li (李)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinese surname Li (李) Context triple: [Lê, sharesOriginWith, Chinese surname Li (李)]
-
A.
Li
chosen
Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
-
B.
Zeng
Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
-
C.
Chen
Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
-
D.
Zhu
Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
-
E.
Wu
Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57fead881909a47188ce7312406 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e71ffd481909dfd0f77201dc17c |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.