Triple
T17359838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shilun |
E422037
|
entity |
| Predicate | givenNameOf |
P17
|
FINISHED |
| Object | Song Shilun |
—
|
NE NERFINISHED |
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: Song Shilun | Statement: [Shilun, givenNameOf, Song Shilun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song Shilun Context triple: [Shilun, givenNameOf, Song Shilun]
-
A.
Song Shilun
chosen
Song Shilun was a prominent Chinese general of the People’s Volunteer Army during the Korean War, noted for leading Chinese forces in major campaigns against United Nations troops.
-
B.
Zhang Lingfu
Zhang Lingfu was a prominent Nationalist Chinese general during the Chinese Civil War, noted for his leadership in several key campaigns and his eventual death in battle.
-
C.
Lin Shi Rong
Lin Shi Rong is the Chinese name of the folk-hero character known as the Magnificent Butcher, a legendary martial artist popularized in Hong Kong kung fu cinema.
-
D.
Zhang Yintang
Zhang Yintang was a late Qing dynasty official who served as a high-ranking provincial administrator and political figure in southern China.
-
E.
Liu Ye
Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 5:44 a.m.