Triple
T13546964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Lectures on Wavelets |
E323537
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Ingrid Daubechies |
E62072
|
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: Ingrid Daubechies | Statement: [Ten Lectures on Wavelets, author, Ingrid Daubechies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Daubechies Context triple: [Ten Lectures on Wavelets, author, Ingrid Daubechies]
-
A.
Ingrid Daubechies
chosen
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.
-
B.
David Donoho
David Donoho is an American mathematician renowned for his foundational contributions to statistics, signal processing, and compressed sensing.
-
C.
Stanley Osher
Stanley Osher is an American mathematician renowned for his influential work in numerical analysis and partial differential equations, particularly in developing high-resolution schemes for computational fluid dynamics and image processing.
-
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.
Charles Fefferman
Charles Fefferman is an American mathematician renowned for his groundbreaking work in harmonic analysis, partial differential equations, and several complex variables, and is a Fields Medalist and long-time professor at Princeton University.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafdb466881908fb46642dc66849d |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bae316081909e048ead31a9575a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.