Triple
T18787563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese People's Volunteer Army corps-level commanders |
E459416
|
entity |
| Predicate | reportedTo |
P2228
|
FINISHED |
| Object | Deng Hua |
—
|
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 Hua | Statement: [Chinese People's Volunteer Army corps-level commanders, reportedTo, Deng Hua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Hua Context triple: [Chinese People's Volunteer Army corps-level commanders, reportedTo, Deng Hua]
-
A.
Deng Hua
chosen
Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
-
B.
Deng Yan
Deng Yan is a fictional character played by actress Natasha Liu Bordizzo, best known from the Star Wars series "Ahsoka."
-
C.
Duan Yueheng
Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
-
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 Wenge
Deng Wenge is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e597828cb481908fe569747f816e15 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.