Triple
T28326949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear and Policeman |
E717434
|
entity |
| Predicate | artSeriesContext |
P164276
|
FINISHED |
| Object | Banality series explores kitsch and mass-produced imagery |
—
|
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: Banality series explores kitsch and mass-produced imagery | Statement: [Bear and Policeman, artSeriesContext, Banality series explores kitsch and mass-produced imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artSeriesContext Context triple: [Bear and Policeman, artSeriesContext, Banality series explores kitsch and mass-produced imagery]
-
A.
artSeriesExploredConcept
chosen
Indicates that an art series investigates, addresses, or delves into a particular concept or theme.
-
B.
artIncludes
Indicates that a work of art contains, incorporates, or is composed of another artistic element or component.
-
C.
illustratorOfOriginalCollection
Indicates that an entity served as the illustrator for the original version of a collection of works.
-
D.
documentsSeries
Indicates that one document belongs to, or is part of, a larger series of related documents.
-
E.
hasNotableIllustrationsOf
Indicates that something contains or features particularly significant or noteworthy illustrations depicting another entity or subject.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 12:29 a.m.