Triple
T3544263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Shuheng |
E74957
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | He Shuheng |
E74957
|
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: He Shuheng | Statement: [He Shuheng, name, He Shuheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Shuheng Context triple: [He Shuheng, name, He Shuheng]
-
A.
He Shuheng
chosen
He Shuheng was an early Chinese communist revolutionary and close associate of Mao Zedong who played a significant role in the founding and development of the Chinese Communist Party.
-
B.
Li Dongsheng
Li Dongsheng is a prominent Chinese business executive best known as the founder and chairman of the electronics company TCL Corporation.
-
C.
Huang Xingguo
Huang Xingguo is a Chinese politician who served as acting mayor and then mayor of Tianjin before being investigated and convicted on corruption charges.
-
D.
Deng Xiansheng
Deng Xiansheng is the birth name of Deng Xiaoping, the paramount Chinese leader who led major economic reforms and opening-up policies in the late 20th century.
-
E.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c2144708190a4a620222eeee5d3 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 8, 2026, 3:20 p.m.