Triple
T29203031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Corboud |
E740331
|
entity |
| Predicate | notableCollectionGenre |
P204062
|
FINISHED |
| Object | Impressionism |
—
|
LITERAL 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: Impressionism | Statement: [Gerard Corboud, notableCollectionGenre, Impressionism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCollectionGenre Context triple: [Gerard Corboud, notableCollectionGenre, Impressionism]
-
A.
notableCoverGenre
Indicates that one entity is a genre in which another entity is notably covered, adapted, or reinterpreted.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
-
D.
notableGenreCollaboration
Indicates a collaborative relationship between entities that is particularly significant or well-known within a specific genre.
-
E.
notableGenreSeries
Indicates that a series is notably associated with or recognized for a particular genre.
- F. None of above. chosen
Provenance (4 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a0316136a14819085bb88563d5abc42 |
completed | May 12, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a03158a962c81909f17d58197f6ba00 |
completed | May 12, 2026, 11:56 a.m. |
| PDg | Predicate description generation | batch_6a0316129c9081908f01528f62fe8997 |
completed | May 12, 2026, 11:59 a.m. |
Created at: April 28, 2026, 12:07 p.m.