Triple
T17359843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song Shilun |
E422037
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shilun |
—
|
NE ONNED1 |
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: Shilun | Statement: [Song Shilun, givenName, Shilun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shilun Context triple: [Song Shilun, givenName, Shilun]
-
A.
Shilun
chosen
Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
-
B.
Daliang
Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
-
C.
Yongcong
Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
-
D.
Xuanhuai
Xuanhuai is the given name of Sheng Xuanhuai, a prominent late Qing dynasty Chinese official, industrialist, and key figure in the Self-Strengthening Movement.
-
E.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4be7448190988593ee342348c1 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955e4cb481909e3193439bb85cd8 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.