Triple
T22474583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chugu-ji |
E555593
|
entity |
| Predicate | artworkPose |
P15582
|
FINISHED |
| Object | pensive pose |
—
|
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: pensive pose | Statement: [Chugu-ji, artworkPose, pensive pose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artworkPose Context triple: [Chugu-ji, artworkPose, pensive pose]
-
A.
portraitArtist
Indicates that one entity is the artist who created a portrait depicting the other entity.
-
B.
showsPose
chosen
Indicates that one entity displays or presents a particular pose or bodily posture of another entity.
-
C.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
D.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
E.
characterArtForm
Indicates a relationship where a character is associated with, depicted in, or expressed through a particular artistic form or medium.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.