Triple
T6834296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lai-Sang Young |
E157410
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Hong-Kun Zhang
Hong-Kun Zhang is a mathematician known for her work in dynamical systems and ergodic theory, and for being a doctoral student of Lai-Sang Young.
|
E621132
|
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: Hong-Kun Zhang | Statement: [Lai-Sang Young, notableStudent, Hong-Kun Zhang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hong-Kun Zhang Context triple: [Lai-Sang Young, notableStudent, Hong-Kun Zhang]
-
A.
Hongbo Zhang
Hongbo Zhang is a software engineer best known for creating BuckleScript, a compiler that translates OCaml/ReasonML code to efficient JavaScript.
-
B.
Xiangyu Zhang
Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
-
C.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
D.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
E.
Jian Sun
Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
- 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: Hong-Kun Zhang Triple: [Lai-Sang Young, notableStudent, Hong-Kun Zhang]
Generated description
Hong-Kun Zhang is a mathematician known for her work in dynamical systems and ergodic theory, and for being a doctoral student of Lai-Sang Young.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hong-Kun Zhang Target entity description: Hong-Kun Zhang is a mathematician known for her work in dynamical systems and ergodic theory, and for being a doctoral student of Lai-Sang Young.
-
A.
Hongbo Zhang
Hongbo Zhang is a software engineer best known for creating BuckleScript, a compiler that translates OCaml/ReasonML code to efficient JavaScript.
-
B.
Xiangyu Zhang
Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
-
C.
Xiaodong Chen
Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
-
D.
Xindong Wu
Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
-
E.
Jian Sun
Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67936288190829fedc3729aadd8 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723fd50c88190af005fd58ca0aee6 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c7247806808190ac60c134cec612c8 |
completed | March 28, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7253b94f081909e7cee870a12af6b |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 27, 2026, 2:18 p.m.