Triple
T14393650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory Piatetsky-Shapiro |
E356903
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | ACM SIGKDD Service Award |
E72788
|
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 Service Award | Statement: [Gregory Piatetsky-Shapiro, awardReceived, ACM SIGKDD Service Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM SIGKDD Service Award Context triple: [Gregory Piatetsky-Shapiro, awardReceived, ACM SIGKDD Service Award]
-
A.
SIGKDD Service Award
chosen
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.
-
B.
SIGKDD Innovation Award
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.
-
C.
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.
-
D.
ACM SIGMOD Contributions Award
The ACM SIGMOD Contributions Award is a prestigious annual honor recognizing individuals who have made outstanding and sustained service contributions to the database systems community.
-
E.
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.
- 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_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_69fda90a7f2881909a7744f1f4344173 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:16 a.m.