Triple
T160662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent van Gogh |
E3276
|
entity |
| Predicate | numberOfWorksCreated |
P6223
|
FINISHED |
| Object | over 2000 artworks |
—
|
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: over 2000 artworks | Statement: [Vincent van Gogh, numberOfWorksCreated, over 2000 artworks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorksCreated Context triple: [Vincent van Gogh, numberOfWorksCreated, over 2000 artworks]
-
A.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
B.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
C.
articleCount
Indicates the number of articles associated with a given entity or context.
-
D.
debutWork
Indicates the work (such as a book, film, album, or performance) that marks an entity’s first public or professional appearance in a given field.
-
E.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25856d934819095460b2ea566eb6b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256623704819089d9eeefe05858ce |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2578329d08190be82e004b8224d2b |
completed | Feb. 28, 2026, 2:48 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.