Triple
T19734621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Kaye |
E473944
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Kaye | Statement: [Paul Kaye, familyName, Kaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaye Context triple: [Paul Kaye, familyName, Kaye]
-
A.
Kaye
chosen
Kaye is a surname shared by various notable individuals across fields such as film, music, and the arts.
-
B.
Keely
Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
-
C.
Dena Kaye
Dena Kaye is the daughter of famed American entertainer Danny Kaye and has been involved in preserving and promoting her father's legacy.
-
D.
Amy Kennett
Amy Kennett is known as one of the children of Jeff Kennett, the former Premier of Victoria and prominent Australian political and media figure.
-
E.
Nora Kaye
Nora Kaye was an acclaimed American ballerina and actress, renowned as one of the leading dramatic dancers of the mid-20th century.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515d138c8190a4c4d112ed5756a3 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.