Triple
T12183992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art Assignment |
E290286
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Sarah Urist Green |
E935679
|
NE FINISHED |
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: Sarah Urist Green | Statement: [The Art Assignment, creator, Sarah Urist Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Urist Green Context triple: [The Art Assignment, creator, Sarah Urist Green]
-
A.
Sarah Urist Green
chosen
Sarah Urist Green is an American art curator and host best known for creating and presenting the PBS Digital Studios web series "The Art Assignment."
-
B.
Amy Eshleman
Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
-
C.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
D.
Gillian Greene
Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
-
E.
Karen McCullah Lutz
Karen McCullah Lutz is an American screenwriter best known for co-writing popular romantic comedies such as "10 Things I Hate About You," "Legally Blonde," and "The House Bunny."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915ffe644819085f4eb64802fe349 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b85782481908cca14d8e8345411 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:50 p.m.