Triple
T22298069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng |
E551174
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Deng Guida |
—
|
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 Guida | Statement: [Deng, hasNotableBearer, Deng Guida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Guida Context triple: [Deng, hasNotableBearer, Deng Guida]
-
A.
Deng Tuo
Deng Tuo was a Chinese journalist, writer, and Communist Party official known for his influential role in mid-20th-century Chinese media and cultural politics.
-
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 Wenge
Deng Wenge is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
-
D.
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.
-
E.
Deng Xihou
Deng Xihou was a Chinese warlord and military commander active during the Warlord Era and early Republic of China period.
- F. None of above. chosen
- 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.