Triple
T37681217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young Teacher: A Domestic Scene |
E938235
|
entity |
| Predicate | reflectsInterestOfArtist |
P120299
|
FINISHED |
| Object | everyday life |
—
|
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: everyday life | Statement: [The Young Teacher: A Domestic Scene, reflectsInterestOfArtist, everyday life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsInterestOfArtist Context triple: [The Young Teacher: A Domestic Scene, reflectsInterestOfArtist, everyday life]
-
A.
reflectsInterestOfArtistIn
chosen
Indicates that something expresses or demonstrates the artistic interest or concern of a particular artist.
-
B.
referencedByArtist
Indicates that an artist has mentioned, cited, or otherwise referred to the target entity in their work or related materials.
-
C.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
D.
representsArtist
Indicates that one entity serves as the artistic representative or agent for another artist entity.
-
E.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.