Triple
T18745955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel statue |
E458405
|
entity |
| Predicate | roleInDesign |
P49737
|
FINISHED |
| Object | focal point |
—
|
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: focal point | Statement: [Ariel statue, roleInDesign, focal point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDesign Context triple: [Ariel statue, roleInDesign, focal point]
-
A.
designedRole
chosen
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
-
B.
roleInArt
Indicates the specific function, position, or contribution an entity has within a particular artwork or artistic production.
-
C.
roleInPhotoshop
Indicates that an entity has a specific function or position within the context of using or working with Adobe Photoshop.
-
D.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
E.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57692c380819091e8a919ab6c9ca9 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.