Triple
T23108993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang Shengzhi |
E576262
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shengzhi |
E576262
|
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: Shengzhi | Statement: [Tang Shengzhi, givenName, Shengzhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shengzhi Context triple: [Tang Shengzhi, givenName, Shengzhi]
-
A.
Shengzhi
chosen
Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
-
B.
Shizhen
Shizhen is the given name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental Chinese medical text "Compendium of Materia Medica."
-
C.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
D.
Jianzhong
Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
-
E.
Ziqing
Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0d3d4881908e32837b3fbbb406 |
completed | April 29, 2026, 4:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23e7fdec8190a7ac3e8f18e677d8 |
completed | May 19, 2026, 8:48 a.m. |
Created at: April 17, 2026, 3:58 p.m.