Triple
T23196196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Jazz |
E579874
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | David 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: David Klein | Statement: [White Jazz, mainCharacter, David Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Klein Context triple: [White Jazz, mainCharacter, David Klein]
-
A.
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.
-
B.
David Klein
chosen
David Klein is the central character in James Ellroy's crime novel "White Jazz," navigating the corrupt and violent underworld of 1950s Los Angeles as a morally compromised police officer.
-
C.
Jonathan Klein
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.
-
D.
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.
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdb279c81908dcc46f2786a86cd |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.