Triple
T16736821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Donoho |
E406737
|
entity |
| Predicate | academicAdvisor |
P167
|
FINISHED |
| Object | Peter J. Huber |
—
|
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: Peter J. Huber | Statement: [David Donoho, academicAdvisor, Peter J. Huber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter J. Huber Context triple: [David Donoho, academicAdvisor, Peter J. Huber]
-
A.
Peter Huber
chosen
Peter Huber is a relatively common personal name shared by multiple individuals across various professions, including law, politics, and academia.
-
B.
Peter E. Haas
Peter E. Haas was an American businessman and philanthropist best known for his leadership role at Levi Strauss & Co. and his prominent involvement in civic and charitable causes in San Francisco.
-
C.
Eric J. Dubowsky
Eric J. Dubowsky is a music producer known for his work with prominent contemporary artists and contributions to modern pop and electronic records.
-
D.
Peter T. Grauer
Peter T. Grauer is an American business executive best known as the longtime chairman of Bloomberg L.P.
-
E.
Michael Huber
Michael Huber is a relatively common personal name shared by multiple individuals across fields such as academia, sports, and the arts, rather than referring to one singular widely recognized figure.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3a86848190a03f243dd1bdb899 |
completed | April 18, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.