Triple
T22298048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng |
E551174
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Deng Rong |
—
|
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: Deng Rong | Statement: [Deng, hasNotableBearer, Deng Rong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Rong Context triple: [Deng, hasNotableBearer, Deng Rong]
-
A.
Deng Rong
chosen
Deng Rong is a Chinese writer and political figure best known as the daughter and biographer of former paramount leader Deng Xiaoping.
-
B.
Deng Yan
Deng Yan is a fictional character played by actress Natasha Liu Bordizzo, best known from the Star Wars series "Ahsoka."
-
C.
Deng Xiansheng
Deng Xiansheng is the birth name of Deng Xiaoping, the paramount Chinese leader who led major economic reforms and opening-up policies in the late 20th century.
-
D.
Deng Pufang
Deng Pufang is a Chinese disability rights activist and politician, best known as the son of former paramount leader Deng Xiaoping and for his work advancing the rights and welfare of people with disabilities in China.
-
E.
Deng Hua
Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572200c88190b9413286136fef15 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.