Triple
T8850720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Du Fu |
E210629
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Li Bai |
E208897
|
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: Li Bai | Statement: [Du Fu, influencedBy, Li Bai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Bai Context triple: [Du Fu, influencedBy, Li Bai]
-
A.
Li Bai
chosen
Li Bai was a renowned Chinese poet of the Tang dynasty, celebrated for his romantic, imaginative verse and mastery of classical Chinese poetry.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Du Fu
Du Fu was a preeminent Tang dynasty poet renowned for his profound social conscience, historical insight, and technical mastery, often hailed as one of China's greatest poets.
-
D.
Bai Juyi
Bai Juyi was a prominent Chinese poet and official of the Tang dynasty, renowned for his accessible, socially conscious verse and enduring influence on East Asian literature.
-
E.
Gao Shi
Gao Shi was a prominent poet of China’s High Tang period, celebrated for his vivid frontier-themed verse and reflections on military life and hardship.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.