Triple
T1621731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Wood |
E35045
|
entity |
| Predicate | movement |
P81
|
FINISHED |
| Object | Regionalism |
E34669
|
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: Regionalism | Statement: [Grant Wood, movement, Regionalism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regionalism Context triple: [Grant Wood, movement, Regionalism]
-
A.
Regionalism
chosen
Regionalism was an American art movement of the 1930s that emphasized realistic depictions of rural life and local landscapes, particularly in the Midwest.
-
B.
Pan-Americanism
Pan-Americanism is a political and cultural movement advocating cooperation, solidarity, and closer ties among the nations of the Americas.
-
C.
Lokrahitya
Lokrahitya is a literary work by renowned Bengali novelist and essayist Bankim Chandra Chattopadhyay, reflecting his engagement with Bengali literature and culture.
-
D.
Pashtun nationalism
Pashtun nationalism is a political and cultural movement advocating for the unity, rights, and self-determination of the Pashtun people across their traditional homelands in Afghanistan and Pakistan.
-
E.
Nation
Nation is a major public square and transportation hub in eastern Paris, France, known for its large roundabout, prominent monuments, and busy metro and RER interchange.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909b1fc788190b38c0aa4ccc2e953 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51d2cbb481908bc74cecdc023547 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.