Triple
T22977828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Keane |
E571373
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Margaret Keane |
—
|
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: Margaret Keane | Statement: [Margaret Keane, name, Margaret Keane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Keane Context triple: [Margaret Keane, name, Margaret Keane]
-
A.
Margaret Keane
chosen
Margaret Keane is an American artist best known for her distinctive paintings of figures with oversized, melancholy eyes, which became the subject of a famous art fraud scandal and the film "Big Eyes."
-
B.
Joan Snyder
Joan Snyder is best known as the wife of famed American sports commentator and Las Vegas bookmaker Jimmy "The Greek" Snyder.
-
C.
Nancy Kinder
Nancy Kinder is a philanthropist and civic leader known for her significant support of cultural and educational institutions, particularly in Houston, Texas.
-
D.
Mary Boone
Mary Boone is a prominent American art dealer best known for her influential New York gallery that helped launch the careers of major contemporary artists in the late 20th century.
-
E.
Marilyn Goldin
Marilyn Goldin is a screenwriter best known for her work on the film "The Big Blue."
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.