Triple
T19425921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Daniel Kaminsky |
E485978
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Dena Kaye |
—
|
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: Dena Kaye | Statement: [David Daniel Kaminsky, child, Dena Kaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dena Kaye Context triple: [David Daniel Kaminsky, child, Dena Kaye]
-
A.
Dena Kaye
chosen
Dena Kaye is the daughter of famed American entertainer Danny Kaye and has been involved in preserving and promoting her father's legacy.
-
B.
Dena Clark
Dena Clark is a relative of Scottish actress Sophie Kennedy Clark, who is known for her roles in independent and art-house films.
-
C.
Deanna Dunagan
Deanna Dunagan is an American actress best known for her Tony Award–winning performance in the Broadway play "August: Osage County" and for her role in the horror film "The Visit."
-
D.
Adrienne Keith
Adrienne Keith is known as the spouse of British scientist, author, and television presenter Adam Hart-Davis.
-
E.
Dana Lyon
Dana Lyon was a writer whose work served as the basis for the film "The House on Telegraph Hill."
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63218772c8190a48b6cb01bd12b73 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.