Triple
T19535739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heathens |
E488761
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Andrew Donoho |
—
|
NE NERFINISHED |
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: Andrew Donoho | Statement: [Heathens, musicVideoDirector, Andrew Donoho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Donoho Context triple: [Heathens, musicVideoDirector, Andrew Donoho]
-
A.
Andrew Donoho
chosen
Andrew Donoho is a contemporary American music video director known for his visually inventive work with prominent hip-hop and pop artists.
-
B.
David Donoho
David Donoho is an American mathematician renowned for his foundational contributions to statistics, signal processing, and compressed sensing.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.