Triple
T18622988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy E. Duddleston |
E455202
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | High Art |
—
|
NE NERFINISHED |
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: High Art | Statement: [Amy E. Duddleston, notableWork, High Art]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Art Context triple: [Amy E. Duddleston, notableWork, High Art]
-
A.
High Art
chosen
High Art is a 1998 independent drama film directed by Lisa Cholodenko that explores the intertwined worlds of love, addiction, and photography within New York’s art scene.
-
B.
Classic Art
Classic Art is an influential art-historical study by Heinrich Wölfflin that systematically contrasts Renaissance and Baroque styles through formal visual analysis.
-
C.
High Fashion
"High Fashion" is a smooth, funk-influenced R&B track by The Family that later gained wider recognition through its association with Prince’s musical legacy.
-
D.
Going Highbrow
Going Highbrow is a 1935 American comedy film featuring Frank McHugh in a leading role as a vaudeville performer who reinvents himself as a sophisticated radio star.
-
E.
ARTF
ARTF is Mexico’s federal regulatory agency responsible for overseeing and regulating the country’s railway transportation system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.