Triple
T34134995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rock (Indiana University Bloomington) |
E875542
|
entity |
| Predicate | paintingMethod |
P178434
|
FINISHED |
| Object | spray paint |
—
|
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: spray paint | Statement: [The Rock (Indiana University Bloomington), paintingMethod, spray paint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintingMethod Context triple: [The Rock (Indiana University Bloomington), paintingMethod, spray paint]
-
A.
paintingPractice
Indicates engaging in the activity of practicing or improving skills in painting.
-
B.
paintingSettingOf
Indicates that a painting depicts or provides the visual setting or background context for another entity or scene.
-
C.
paintingProject
Indicates a relationship where an entity undertakes or is associated with the activity of creating, executing, or managing a painting-related task or assignment.
-
D.
paints
Indicates that one entity applies paint to create, cover, or decorate another entity.
-
E.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
- F. None of above. chosen
Provenance (4 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:53 a.m.