Triple
T18204500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALBERT |
E435869
|
entity |
| Predicate | paperAuthorsInclude |
P63068
|
FINISHED |
| Object |
Mingda Chen
Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
|
E1324699
|
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: Mingda Chen | Statement: [ALBERT, paperAuthorsInclude, Mingda Chen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mingda Chen Context triple: [ALBERT, paperAuthorsInclude, Mingda Chen]
-
A.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
B.
Qigang Chen
Qigang Chen is a Chinese-French composer known for blending traditional Chinese musical elements with contemporary Western orchestral styles.
-
C.
Xiangmei Chen
Xiangmei Chen, better known as Anna Chennault, was a prominent Chinese-American journalist, Republican political operative, and influential figure in U.S.–China relations during the Cold War.
-
D.
Tianqi Chen
Tianqi Chen is a computer scientist and machine learning researcher best known for creating the widely used gradient boosting library XGBoost.
-
E.
Danqi Chen
Danqi Chen is a prominent computer scientist and natural language processing researcher known for her work on neural reading comprehension and information retrieval.
- 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: Mingda Chen Triple: [ALBERT, paperAuthorsInclude, Mingda Chen]
Generated description
Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mingda Chen Target entity description: Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
-
A.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
B.
Qigang Chen
Qigang Chen is a Chinese-French composer known for blending traditional Chinese musical elements with contemporary Western orchestral styles.
-
C.
Xiangmei Chen
Xiangmei Chen, better known as Anna Chennault, was a prominent Chinese-American journalist, Republican political operative, and influential figure in U.S.–China relations during the Cold War.
-
D.
Tianqi Chen
Tianqi Chen is a computer scientist and machine learning researcher best known for creating the widely used gradient boosting library XGBoost.
-
E.
Danqi Chen
Danqi Chen is a prominent computer scientist and natural language processing researcher known for her work on neural reading comprehension and information retrieval.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fc93a708190b8b667e8f5c54417 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a0411178f848190a825eac107ceabc2 |
completed | May 13, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0411953ddc8190845a712b26dde37f |
completed | May 13, 2026, 5:52 a.m. |
Created at: April 10, 2026, 10:32 a.m.