Triple
T12248050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exploring the Arts |
E291901
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Susan Benedetto |
E1006902
|
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: Susan Benedetto | Statement: [Exploring the Arts, coFounder, Susan Benedetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Benedetto Context triple: [Exploring the Arts, coFounder, Susan Benedetto]
-
A.
Susan Benedetto
chosen
Susan Benedetto (born Susan Crow) is an American philanthropist and former schoolteacher best known as the wife of legendary singer Tony Bennett and co-founder of arts education initiatives.
-
B.
Deanna Piatelli
Deanna Piatelli is known as the spouse of Jack Dempsey.
-
C.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
D.
Lisa Molinaro
Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
-
E.
Susan Benfer
Susan Benfer is known as the wife of prominent American newscaster David Brinkley.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc50d808190a3c8d1ada31a6a91 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a531c62481908eac880e716cf55b |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 8, 2026, 9:51 p.m.