Triple
T6441713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokeby Venus |
E138239
|
entity |
| Predicate | showsView |
P63656
|
FINISHED |
| Object | back view of a reclining nude woman |
—
|
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: back view of a reclining nude woman | Statement: [Rokeby Venus, showsView, back view of a reclining nude woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsView Context triple: [Rokeby Venus, showsView, back view of a reclining nude woman]
-
A.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
B.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
C.
depictsView
chosen
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
E.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06989dfb88190b25ff8b2c53f3ced |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.