Triple
T22298062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng |
E551174
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Deng Hongkui
Deng Hongkui is a prominent Chinese immunologist and stem cell researcher known for his pioneering work in HIV/AIDS and gene-editing therapies.
|
E1577326
|
NE FINISHED |
How this triple was built (4 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 Hongkui | Statement: [Deng, hasNotableBearer, Deng Hongkui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Hongkui Context triple: [Deng, hasNotableBearer, Deng Hongkui]
-
A.
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.
-
B.
Deng Rong
Deng Rong is a Chinese writer and political figure best known as the daughter and biographer of former paramount leader Deng Xiaoping.
-
C.
Duan Yueheng
Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
-
D.
Guo Dingkang
Guo Dingkang is an alternate name for Guo Moruo, a prominent 20th-century Chinese author, poet, historian, and political figure.
-
E.
Deng Yan
Deng Yan is a fictional character played by actress Natasha Liu Bordizzo, best known from the Star Wars series "Ahsoka."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deng Hongkui Triple: [Deng, hasNotableBearer, Deng Hongkui]
Generated description
Deng Hongkui is a prominent Chinese immunologist and stem cell researcher known for his pioneering work in HIV/AIDS and gene-editing therapies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deng Hongkui Target entity description: Deng Hongkui is a prominent Chinese immunologist and stem cell researcher known for his pioneering work in HIV/AIDS and gene-editing therapies.
-
A.
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.
-
B.
Deng Rong
Deng Rong is a Chinese writer and political figure best known as the daughter and biographer of former paramount leader Deng Xiaoping.
-
C.
Duan Yueheng
Duan Yueheng is a film editor best known for editing the Chinese crime drama film "Shanghai Triad."
-
D.
Guo Dingkang
Guo Dingkang is an alternate name for Guo Moruo, a prominent 20th-century Chinese author, poet, historian, and political figure.
-
E.
Deng Yan
Deng Yan is a fictional character played by actress Natasha Liu Bordizzo, best known from the Star Wars series "Ahsoka."
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f2817688190abd9a0a022ac618c |
completed | May 19, 2026, 10:44 a.m. |
| NEDg | Description generation | batch_6a0c4043d00481908f8d72d80c8ec692 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40d700188190a34ad429ec84e710 |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 16, 2026, 8:41 p.m.