Triple
T20826513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Louisa Kelly |
E512713
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Louisa Kelly |
—
|
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: Jean Louisa Kelly | Statement: [Jean Louisa Kelly, name, Jean Louisa Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Louisa Kelly Context triple: [Jean Louisa Kelly, name, Jean Louisa Kelly]
-
A.
Jean Louisa Kelly
chosen
Jean Louisa Kelly is an American actress and singer best known for her roles in films like "Uncle Buck" and "Mr. Holland's Opus" and the TV series "Yes, Dear."
-
B.
Beverly Kelly
Beverly Kelly is best known as the wife of American actor James Coburn.
-
C.
Edith Kelly
Edith Kelly was a British actress and socialite of the early 20th century, noted for her stage career and high-profile marriage into the wealthy Gould family.
-
D.
Margaret Katherine Majer Kelly
Margaret Katherine Majer Kelly was an American physical education instructor and former model best known as the mother of actress and Princess of Monaco Grace Kelly.
-
E.
Paula Kelly
Paula Kelly was an American actress, singer, and dancer known for her work in film, television, and Broadway musicals from the 1960s through the 1980s.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fe54608190a061274bf4316610 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.