Triple
T37878797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | exhibiting works by Jackson Pollock |
E944807
|
entity |
| Predicate | involvesArtworkType |
P3050
|
FINISHED |
| Object | drip painting |
—
|
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: drip painting | Statement: [exhibiting works by Jackson Pollock, involvesArtworkType, drip painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesArtworkType Context triple: [exhibiting works by Jackson Pollock, involvesArtworkType, drip painting]
-
A.
artworkType
chosen
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
B.
typeOfWorksListed
Indicates that the kinds or categories of works associated with an entity are specified or enumerated.
-
C.
includesArtBy
Indicates that one entity contains, features, or presents artwork created by another entity.
-
D.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
E.
artworkDimensionType
Indicates the type or category of measurement (e.g., height, width, depth) used to describe an artwork’s dimensions.
- F. None of above.
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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 3, 2026, 4:19 p.m.