Triple
T15361033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Vapnik |
E367287
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | ACM SIGKDD Innovation Award |
E72222
|
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: ACM SIGKDD Innovation Award | Statement: [Vladimir Vapnik, awardReceived, ACM SIGKDD Innovation Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM SIGKDD Innovation Award Context triple: [Vladimir Vapnik, awardReceived, ACM SIGKDD Innovation Award]
-
A.
SIGKDD Innovation Award
chosen
The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.
-
B.
ACM SIGKDD Test of Time Award
The ACM SIGKDD Test of Time Award is a prestigious honor in data mining and knowledge discovery that recognizes research papers whose long-term impact has significantly shaped the field.
-
C.
SIGKDD Service Award
The SIGKDD Service Award is a prestigious annual honor recognizing individuals who have made exceptional contributions to the data mining and knowledge discovery community through dedicated professional service and leadership.
-
D.
ACM SIGMOD Innovations Award
The ACM SIGMOD Innovations Award is a prestigious annual honor recognizing individuals who have made pioneering and highly influential contributions to the field of data management and database systems.
-
E.
IEEE ICDM Outstanding Service Award
The IEEE ICDM Outstanding Service Award is a prestigious honor recognizing exceptional contributions and dedicated service to the IEEE International Conference on Data Mining and the broader data mining community.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4a181c8190bffc1ac1a86e215d |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.