Triple
T26420680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landscape with Footbridge |
E664228
|
entity |
| Predicate | humanFiguresRole |
P17608
|
FINISHED |
| Object | secondary or minimal |
—
|
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: secondary or minimal | Statement: [Landscape with Footbridge, humanFiguresRole, secondary or minimal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanFiguresRole Context triple: [Landscape with Footbridge, humanFiguresRole, secondary or minimal]
-
A.
favoriteFigure
Indicates that one entity is the preferred or most liked figure (such as a person, character, or symbol) of another entity.
-
B.
depictsPersonRole
chosen
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
C.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
D.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
E.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6113a20d88190990582ec3f4d31ab |
completed | May 2, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:43 p.m.