Triple
T19513248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Rosen Gallery |
E488208
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Andrea Rosen |
—
|
NE NERFINISHED |
How this triple was built (3 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: Andrea Rosen | Statement: [Andrea Rosen Gallery, foundedBy, Andrea Rosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Rosen Context triple: [Andrea Rosen Gallery, foundedBy, Andrea Rosen]
-
A.
Joanna Hoffman
Joanna Hoffman is a marketing executive and former member of the original Macintosh team at Apple who later joined Steve Jobs at NeXT and is known for her influential role in shaping early personal computing products.
-
B.
Andrea Zittel
Andrea Zittel is an American contemporary artist known for her experimental living environments and sculptural installations that explore themes of domesticity, self-sufficiency, and the structures of everyday life.
-
C.
Sally Oppenheim
Sally Oppenheim is a British Conservative politician who served as a Member of Parliament and held ministerial roles in the late 20th century.
-
D.
Rachel Stern
Rachel Stern is a stage actress best known for originating the role of Liz in the Broadway production of the musical "High Fidelity."
-
E.
Andrea Roth
Andrea Roth is a Canadian actress best known for her role as Janet Gavin on the television drama series "Rescue Me."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrea Rosen Target entity description: Andrea Rosen is an American art dealer and gallerist best known for founding the influential contemporary art space Andrea Rosen Gallery in New York City.
-
A.
Joanna Hoffman
Joanna Hoffman is a marketing executive and former member of the original Macintosh team at Apple who later joined Steve Jobs at NeXT and is known for her influential role in shaping early personal computing products.
-
B.
Andrea Zittel
Andrea Zittel is an American contemporary artist known for her experimental living environments and sculptural installations that explore themes of domesticity, self-sufficiency, and the structures of everyday life.
-
C.
Sally Oppenheim
Sally Oppenheim is a British Conservative politician who served as a Member of Parliament and held ministerial roles in the late 20th century.
-
D.
Rachel Stern
Rachel Stern is a stage actress best known for originating the role of Liz in the Broadway production of the musical "High Fidelity."
-
E.
Andrea Roth
Andrea Roth is a Canadian actress best known for her role as Janet Gavin on the television drama series "Rescue Me."
- F. None of above. chosen
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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63599c17881909a392a6026e45955 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.