Triple
T12054899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cao Yu |
E287014
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cao Yu |
E287014
|
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: Cao Yu | Statement: [Cao Yu, name, Cao Yu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cao Yu Context triple: [Cao Yu, name, Cao Yu]
-
A.
Cao Yu
chosen
Cao Yu was a pioneering 20th-century Chinese dramatist, often regarded as the father of modern Chinese spoken drama.
-
B.
Tian Han
Tian Han was a prominent 20th-century Chinese playwright and poet best known for writing the lyrics to what became the national anthem of the People's Republic of China.
-
C.
Wu Han
Wu Han was a prominent Chinese historian and politician whose critical play about a Ming dynasty official became a key trigger for the Cultural Revolution.
-
D.
Lao She
Lao She was a prominent 20th-century Chinese novelist and playwright best known for his vivid portrayals of Beijing life and his satirical, socially conscious works such as "Rickshaw Boy" and "Teahouse."
-
E.
Cao Yan
Cao Yan was a lesser-known member of the Cao Wei imperial clan during China’s Three Kingdoms period, recognized primarily for his adoption by the Wei emperor Cao Rui.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.