Triple
T14374175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Chuanzhi |
E356432
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Liu |
E371857
|
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: Liu | Statement: [Liu Chuanzhi, familyName, Liu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liu Context triple: [Liu Chuanzhi, familyName, Liu]
-
A.
Liu
chosen
Liu is a common Chinese surname borne by numerous historical figures, political leaders, and cultural personalities across Chinese history.
-
B.
LIU
LIU is a private university system in New York known for its campuses in Brooklyn and Brookville and a wide range of undergraduate and graduate programs.
-
C.
LIU
LIU is a major CERN project to modernize and enhance the performance of the injector accelerators that feed the Large Hadron Collider.
-
D.
Liu Jian
Liu Jian was a prominent Ming dynasty statesman and grand secretary who played a key role in government during the reign of the Hongzhi Emperor.
-
E.
Liu Bin
Liu Bin is a Chinese woman known primarily as the wife of Mao Xinyu, the grandson of Mao Zedong.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5514688190be90776c8764d4f3 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.