Triple
T10270042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Friedrich Gauss Prize |
E240809
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | David L. Donoho |
E406737
|
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: David L. Donoho | Statement: [Carl Friedrich Gauss Prize, hasRecipient, David L. Donoho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David L. Donoho Context triple: [Carl Friedrich Gauss Prize, hasRecipient, David L. Donoho]
-
A.
David Donoho
chosen
David Donoho is an American mathematician renowned for his foundational contributions to statistics, signal processing, and compressed sensing.
-
B.
Ingrid Daubechies
Ingrid Daubechies is a Belgian physicist and mathematician renowned for her pioneering work in wavelet theory and its applications to signal processing, image compression, and data analysis.
-
C.
Alan S. Willsky
Alan S. Willsky is an American electrical engineer and MIT professor emeritus renowned for his contributions to statistical signal processing and control theory.
-
D.
David Slepian
David Slepian was an American mathematician and electrical engineer known for his influential work in information theory and communications, including the development of the Slepian–Wolf coding theorem.
-
E.
Alan V. Oppenheim
Alan V. Oppenheim is an American electrical engineer and MIT professor renowned for his pioneering contributions to digital signal processing and widely used textbooks in the field.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d270fb088190ba43b6f24e881b94 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f80c25888190a3e8a2c513df7043 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:35 a.m.