Triple
T9224610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng Rong |
E221648
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Deng Nan |
E220015
|
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 Nan | Statement: [Deng Rong, relative, Deng Nan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Nan Context triple: [Deng Rong, relative, Deng Nan]
-
A.
Deng Nan
chosen
Deng Nan is a Chinese physicist and politician, known both for her scientific work and for being the daughter of former paramount leader Deng Xiaoping.
-
B.
Deng Hua
Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
-
C.
Deng Lin
Deng Lin is a Chinese individual best known as a daughter of former Chinese leader Deng Xiaoping.
-
D.
Qu Dongyu
Qu Dongyu is a Chinese agronomist and politician who serves as the Director-General of the United Nations Food and Agriculture Organization, leading global efforts to combat hunger and promote sustainable agriculture.
-
E.
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.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9c71c4819089dcc3689f322529 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b56fd9cc819089ed17169d313d8b |
completed | April 5, 2026, 7:18 p.m. |
Created at: March 30, 2026, 7:28 p.m.