Triple
T18858600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Getty Images |
E461244
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Jonathan Klein |
—
|
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: Jonathan Klein | Statement: [Getty Images, coFoundedBy, Jonathan Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Klein Context triple: [Getty Images, coFoundedBy, Jonathan Klein]
-
A.
Jonathan Klein
chosen
Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
-
B.
David Klein
David Klein is an American cinematographer best known for his frequent collaborations with filmmaker Kevin Smith and his work on independent films and television series.
-
C.
Dan Klein
Dan Klein is a prominent computer scientist and professor at UC Berkeley known for his influential research in natural language processing and machine learning.
-
D.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
E.
Michael Bluestein
Michael Bluestein is an American keyboardist and songwriter best known as a longtime member of the rock band Foreigner.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05eaee881909da704cf1374158c |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.