Triple
T8089773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeng Liansong |
E188826
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zeng |
E89334
|
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: Zeng | Statement: [Zeng Liansong, familyName, Zeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeng Context triple: [Zeng Liansong, familyName, Zeng]
-
A.
Zeng
chosen
Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
-
B.
Zhu
Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
-
C.
Zhou
Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
-
D.
Zhong
Zhong is a traditional Chinese bell-like percussion instrument used in ancient ritual and court music.
-
E.
Shengzhi
Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe81763881909e2e67bb56f2aa83 |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:29 p.m.