Triple
T21748278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Kaminsky |
E536843
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kaminsky |
—
|
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: Kaminsky | Statement: [Frank Kaminsky, familyName, Kaminsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaminsky Context triple: [Frank Kaminsky, familyName, Kaminsky]
-
A.
Kaminsky
chosen
Kaminsky is the original family surname of American entertainer Danny Kaye, born David Daniel Kaminsky.
-
B.
Kamensky
Kamensky is a Russian surname most notably associated with former professional ice hockey player Valeri Kamensky.
-
C.
Kaminker
Kaminker is the original family surname of the renowned French actress Simone Signoret, reflecting her Jewish-Polish heritage.
-
D.
Kertzman
Kertzman is a surname most notably associated with Mitch Kertzman, an American technology executive and venture capitalist.
-
E.
Kamiński
Kamiński is a common Polish surname borne by numerous notable figures in fields such as film, sports, and politics.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a77e19c81909bf26f96aa41a7ce |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:50 p.m.