Triple
T14447134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xindong Wu |
E358236
|
entity |
| Predicate | hasEditorialWork |
P114311
|
FINISHED |
| Object |
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering is a leading peer-reviewed journal published by the IEEE Computer Society that focuses on research in knowledge discovery, data mining, databases, and data-intensive systems.
|
E1099624
|
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: IEEE Transactions on Knowledge and Data Engineering | Statement: [Xindong Wu, hasEditorialWork, IEEE Transactions on Knowledge and Data Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEEE Transactions on Knowledge and Data Engineering Context triple: [Xindong Wu, hasEditorialWork, IEEE Transactions on Knowledge and Data Engineering]
-
A.
ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
-
B.
ACM Transactions on Data Science
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
-
C.
IEEE International Conference on Data Engineering
The IEEE International Conference on Data Engineering is a leading annual research conference focused on advances in data management, database systems, and related engineering technologies.
-
D.
ACM Transactions on Database Systems
ACM Transactions on Database Systems is a leading peer-reviewed scholarly journal that publishes research on the theory, design, development, and evaluation of database systems and data management technologies.
-
E.
ACM Transactions on Information Systems
ACM Transactions on Information Systems is a peer-reviewed scholarly journal focusing on research in information retrieval, data management, and related areas of information systems.
- 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: IEEE Transactions on Knowledge and Data Engineering Triple: [Xindong Wu, hasEditorialWork, IEEE Transactions on Knowledge and Data Engineering]
Generated description
IEEE Transactions on Knowledge and Data Engineering is a leading peer-reviewed journal published by the IEEE Computer Society that focuses on research in knowledge discovery, data mining, databases, and data-intensive systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IEEE Transactions on Knowledge and Data Engineering Target entity description: IEEE Transactions on Knowledge and Data Engineering is a leading peer-reviewed journal published by the IEEE Computer Society that focuses on research in knowledge discovery, data mining, databases, and data-intensive systems.
-
A.
ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
-
B.
ACM Transactions on Data Science
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
-
C.
IEEE International Conference on Data Engineering
The IEEE International Conference on Data Engineering is a leading annual research conference focused on advances in data management, database systems, and related engineering technologies.
-
D.
ACM Transactions on Database Systems
ACM Transactions on Database Systems is a leading peer-reviewed scholarly journal that publishes research on the theory, design, development, and evaluation of database systems and data management technologies.
-
E.
ACM Transactions on Information Systems
ACM Transactions on Information Systems is a peer-reviewed scholarly journal focusing on research in information retrieval, data management, and related areas of information systems.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdf451c8190baaa3f7500eaea16 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5c549f6c819085f8aad53d2a770f |
completed | May 8, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5cc9ec1c8190b761c9459ca0c52e |
completed | May 8, 2026, 3:47 a.m. |
Created at: April 10, 2026, 1:19 a.m.