Triple
T3076114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Non-Objective Painting |
E64140
|
entity |
| Predicate | focusesOnMovement |
P31
|
FINISHED |
| Object | abstract art movement |
—
|
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: abstract art movement | Statement: [Museum of Non-Objective Painting, focusesOnMovement, abstract art movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnMovement Context triple: [Museum of Non-Objective Painting, focusesOnMovement, abstract art movement]
-
A.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
usesMovement
Indicates that an entity performs or involves some form of movement as part of its action or behavior.
-
C.
refersToPersonMovement
Indicates that one entity is referencing, describing, or otherwise relating to the physical movement or relocation of a person.
-
D.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
-
E.
roleInMovement
Indicates the specific function, position, or contribution an entity has within a broader movement or collective effort.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a5b4108190979654b459990afd |
completed | March 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69ad9debb6308190be28378ae1fc98af |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:02 p.m.