Triple
T3450802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGKDD Service Award |
E72788
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Christos Faloutsos |
E356900
|
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: Christos Faloutsos | Statement: [SIGKDD Service Award, notableRecipient, Christos Faloutsos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christos Faloutsos Context triple: [SIGKDD Service Award, notableRecipient, Christos Faloutsos]
-
A.
Christos Faloutsos
chosen
Christos Faloutsos is a prominent computer scientist known for his influential research in data mining, database systems, and graph analytics.
-
B.
Rakesh Agrawal
Rakesh Agrawal is a pioneering computer scientist best known for his foundational contributions to data mining and database systems.
-
C.
Gregory Piatetsky-Shapiro
Gregory Piatetsky-Shapiro is a pioneering computer scientist and data mining expert best known as the founder of the KDD (Knowledge Discovery and Data Mining) conferences and the KDnuggets data science community.
-
D.
Jure Leskovec
Jure Leskovec is a prominent computer scientist known for his influential work in data mining, social network analysis, and machine learning, particularly on large-scale graph data.
-
E.
Jon Kleinberg
Jon Kleinberg is a prominent computer scientist known for his influential work in algorithms, networks, and data science, particularly in the analysis of large-scale social and information networks.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7324508190b07943cec3ecdb59 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360eb7ad08190865e62228365d530 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.