Triple
T17520742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIBSVM |
E426672
|
entity |
| Predicate | citationAuthors |
P63068
|
FINISHED |
| Object | Chih-Chung Chang and Chih-Jen Lin |
—
|
NE NERFINISHED |
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: Chih-Chung Chang and Chih-Jen Lin | Statement: [LIBSVM, citationAuthors, Chih-Chung Chang and Chih-Jen Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chih-Chung Chang and Chih-Jen Lin Context triple: [LIBSVM, citationAuthors, Chih-Chung Chang and Chih-Jen Lin]
-
A.
Jiawei Han
Jiawei Han is a prominent computer scientist renowned for his pioneering contributions to data mining and knowledge discovery.
-
B.
Gie-Ming Lin
Gie-Ming Lin is known primarily as a family member of Shirley Lin, likely recognized in relation to her public or professional profile.
-
C.
Zvi Kohavi
Zvi Kohavi was a computer scientist and academic known for his influential work and textbooks in automata theory, switching and finite automata, and the mathematical foundations of computation.
-
D.
Yee-Whye Teh
Yee-Whye Teh is a prominent statistician and machine learning researcher known for his influential work on Bayesian nonparametrics, probabilistic modeling, and deep learning.
-
E.
Support Vector Machines
Support Vector Machines are a class of supervised learning algorithms used primarily for classification and regression tasks, which work by finding the optimal separating hyperplane between data classes in a high-dimensional feature space.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chih-Chung Chang and Chih-Jen Lin Target entity description: Chih-Chung Chang and Chih-Jen Lin are computer scientists best known for developing LIBSVM, a widely used open-source library for support vector machines in machine learning.
-
A.
Jiawei Han
Jiawei Han is a prominent computer scientist renowned for his pioneering contributions to data mining and knowledge discovery.
-
B.
Gie-Ming Lin
Gie-Ming Lin is known primarily as a family member of Shirley Lin, likely recognized in relation to her public or professional profile.
-
C.
Zvi Kohavi
Zvi Kohavi was a computer scientist and academic known for his influential work and textbooks in automata theory, switching and finite automata, and the mathematical foundations of computation.
-
D.
Yee-Whye Teh
Yee-Whye Teh is a prominent statistician and machine learning researcher known for his influential work on Bayesian nonparametrics, probabilistic modeling, and deep learning.
-
E.
Support Vector Machines
Support Vector Machines are a class of supervised learning algorithms used primarily for classification and regression tasks, which work by finding the optimal separating hyperplane between data classes in a high-dimensional feature space.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationAuthors Context triple: [LIBSVM, citationAuthors, Chih-Chung Chang and Chih-Jen Lin]
-
A.
authors
chosen
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
B.
citationAs
Indicates that one entity is cited or referenced in the role or capacity specified by another entity (such as a particular work, version, or context).
-
C.
citationBy
Indicates that one work is cited or referenced by another work.
-
D.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
E.
authorMentionedBy
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
- F. None of above.
Provenance (3 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.