Triple
T14721083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeurIPS Test of Time Award |
E345813
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
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.
|
E1115576
|
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: ACM SIGKDD Test of Time Award | Statement: [NeurIPS Test of Time Award, relatedTo, ACM SIGKDD Test of Time Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM SIGKDD Test of Time Award Context triple: [NeurIPS Test of Time Award, relatedTo, ACM SIGKDD Test of Time Award]
-
A.
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.
-
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.
ACM SIGMOD Test of Time Award
The ACM SIGMOD Test of Time Award is a prestigious database research honor recognizing SIGMOD conference papers whose ideas have had a lasting and significant impact on the field.
-
D.
ACM PODS Test-of-Time Award
The ACM PODS Test-of-Time Award is a prestigious recognition in the database theory community honoring research papers from the Principles of Database Systems (PODS) conference that have had a lasting and significant impact on the field.
-
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. 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: ACM SIGKDD Test of Time Award Triple: [NeurIPS Test of Time Award, relatedTo, ACM SIGKDD Test of Time Award]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACM SIGKDD Test of Time Award Target entity description: 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.
-
A.
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.
-
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.
ACM SIGMOD Test of Time Award
The ACM SIGMOD Test of Time Award is a prestigious database research honor recognizing SIGMOD conference papers whose ideas have had a lasting and significant impact on the field.
-
D.
ACM PODS Test-of-Time Award
The ACM PODS Test-of-Time Award is a prestigious recognition in the database theory community honoring research papers from the Principles of Database Systems (PODS) conference that have had a lasting and significant impact on the field.
-
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. 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf440a03c8190886119ab3c8ab610 |
completed | May 8, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf4f2acbc8190b51ee456093a2813 |
completed | May 8, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:29 a.m.