Triple
T13278988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE Visualization Best Paper Award |
E316267
|
entity |
| Predicate | domain |
P87
|
FINISHED |
| Object | IEEE VIS |
E1030884
|
NE FINISHED |
How this triple was built (2 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 VIS | Statement: [IEEE Visualization Best Paper Award, domain, IEEE VIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEEE VIS Context triple: [IEEE Visualization Best Paper Award, domain, IEEE VIS]
-
A.
IEEE Visualization conference
chosen
The IEEE Visualization conference is a premier annual research conference focused on advances in scientific and information visualization, bringing together experts from academia and industry to present and discuss cutting-edge visualization techniques and systems.
-
B.
IEEE Visualization Best Paper Award
The IEEE Visualization Best Paper Award is a prestigious honor recognizing the most outstanding research paper presented at the annual IEEE Visualization conference.
-
C.
IEEE Visualization Career Award
The IEEE Visualization Career Award is a prestigious honor recognizing individuals for outstanding and sustained contributions to the field of scientific and information visualization.
-
D.
ACM Multimedia Conference
The ACM Multimedia Conference is a leading international research conference focusing on all aspects of multimedia computing, communication, and applications.
-
E.
Readings in Information Visualization: Using Vision to Think
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99043fba88190872ede6f63e2fbcb |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716cfea308190836eb4892e7c5eb4 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:26 p.m.