Triple
T2275532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wexner Center for the Arts |
E50760
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Peter Eisenman |
E73234
|
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: Peter Eisenman | Statement: [Wexner Center for the Arts, architect, Peter Eisenman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Eisenman Context triple: [Wexner Center for the Arts, architect, Peter Eisenman]
-
A.
Peter Eisenman
chosen
Peter Eisenman is an American architect and theorist known for his deconstructivist designs and intellectually rigorous, often controversial architectural works.
-
B.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
C.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
D.
Paul Feldman
Paul Feldman is a computer scientist and cryptographer known for his work on digital signatures and other foundational topics in modern cryptography.
-
E.
Charles Rackoff
Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ebaa148190851952567878b3a1 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e01860819082bca15c146b9c64 |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.