Triple
T15081957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Hongzhang |
E360168
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hongzhang |
E338961
|
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: Hongzhang | Statement: [Li Hongzhang, givenName, Hongzhang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongzhang Context triple: [Li Hongzhang, givenName, Hongzhang]
-
A.
Hongzhang
chosen
Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
-
B.
Zongzhang
Zongzhang was a brief Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
-
C.
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.
-
D.
Huanwu
Huanwu is the given name of Peng Huanwu, a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics.
-
E.
Zongren
Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae15d6308190a62b4f66c550db04 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:03 a.m.