Triple
T14393531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christos Faloutsos |
E356900
|
entity |
| Predicate | hasPublishedIn |
P309
|
FINISHED |
| Object |
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.
|
E1096525
|
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 International Conference on Data Engineering | Statement: [Christos Faloutsos, hasPublishedIn, IEEE International Conference on Data Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEEE International Conference on Data Engineering Context triple: [Christos Faloutsos, hasPublishedIn, IEEE International Conference on Data Engineering]
-
A.
ACM SIGMOD Conference
The ACM SIGMOD Conference is a premier annual international research conference focusing on the management of data and database systems, organized by the ACM Special Interest Group on Management of Data.
-
B.
IEEE International Conference on Data Mining
The IEEE International Conference on Data Mining is a leading annual research conference that focuses on advances in data mining, machine learning, and knowledge discovery in databases.
-
C.
ACM SIGMOD Symposium on Principles of Database Systems
The ACM SIGMOD Symposium on Principles of Database Systems (PODS) is a leading annual research conference focused on the theoretical foundations and formal aspects of database systems.
-
D.
ACM SIGMOD Record
ACM SIGMOD Record is a quarterly newsletter and publication of the ACM Special Interest Group on Management of Data, featuring articles, surveys, and reports on database research and practice.
-
E.
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.
- 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 International Conference on Data Engineering Triple: [Christos Faloutsos, hasPublishedIn, IEEE International Conference on Data Engineering]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IEEE International Conference on Data Engineering Target entity description: 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.
-
A.
ACM SIGMOD Conference
The ACM SIGMOD Conference is a premier annual international research conference focusing on the management of data and database systems, organized by the ACM Special Interest Group on Management of Data.
-
B.
IEEE International Conference on Data Mining
The IEEE International Conference on Data Mining is a leading annual research conference that focuses on advances in data mining, machine learning, and knowledge discovery in databases.
-
C.
ACM SIGMOD Symposium on Principles of Database Systems
The ACM SIGMOD Symposium on Principles of Database Systems (PODS) is a leading annual research conference focused on the theoretical foundations and formal aspects of database systems.
-
D.
ACM SIGMOD Record
ACM SIGMOD Record is a quarterly newsletter and publication of the ACM Special Interest Group on Management of Data, featuring articles, surveys, and reports on database research and practice.
-
E.
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.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551b006c8190b84449f2e2b59b62 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd55d90ed08190b6a0184715f39ff4 |
completed | May 8, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd565d32fc8190acc1e733537a23cb |
completed | May 8, 2026, 3:19 a.m. |
Created at: April 10, 2026, 1:16 a.m.