Triple
T14757498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng Wenge |
E346767
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deng |
E551174
|
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: Deng | Statement: [Deng Wenge, familyName, Deng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Context triple: [Deng Wenge, familyName, Deng]
-
A.
Deng
chosen
Deng is a common Chinese surname borne by numerous notable figures in politics, military, arts, and other fields.
-
B.
Chén Píng
Chén Píng is the pinyin romanization of the Chinese name 陳平, which may refer to various individuals in Chinese history or contemporary society.
-
C.
Deng Wenge
Deng Wenge, better known as Wendi Deng, is a Chinese-American businesswoman and film producer widely recognized as the former wife of media mogul Rupert Murdoch.
-
D.
Deng Xiaoping
Deng Xiaoping was a Chinese revolutionary and paramount leader who, after Mao Zedong, steered China toward market-oriented economic reforms while maintaining Communist Party control.
-
E.
Zhuang Zedong
Zhuang Zedong was a Chinese table tennis champion best known for his pivotal role in initiating Sino-American rapprochement through ping-pong diplomacy in the early 1970s.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ced0e2c8190a13e3b43e4d35560 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.