Triple
T27990455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichols Canyon (photographic collage) |
E706855
|
entity |
| Predicate | artMovementInfluence |
P47164
|
FINISHED |
| Object | photographic collage |
—
|
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: photographic collage | Statement: [Nichols Canyon (photographic collage), artMovementInfluence, photographic collage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artMovementInfluence Context triple: [Nichols Canyon (photographic collage), artMovementInfluence, photographic collage]
-
A.
influenceOnArt
Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
-
B.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
C.
inspiredArtMovement
chosen
Indicates that one entity served as a creative or conceptual influence leading to the development or direction of an art movement in the other entity.
-
D.
movementInfluences
Indicates that one entity’s movement affects, alters, or determines the movement or motion-related behavior of another entity.
-
E.
inArtSince
Indicates that an entity has been involved or active in the field of art starting from a specified time.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63fd79e4c8190af9263b679e5ff07 |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:49 p.m.