Triple
T19498648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoportrait à la palette |
E487839
|
entity |
| Predicate | depictionCharacter |
P49328
|
FINISHED |
| Object | confident |
—
|
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: confident | Statement: [Autoportrait à la palette, depictionCharacter, confident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionCharacter Context triple: [Autoportrait à la palette, depictionCharacter, confident]
-
A.
depictsCharacterType
chosen
Indicates that one entity visually represents or portrays a character of a specified type or role.
-
B.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
C.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
D.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
-
E.
depictsInPortraits
Indicates that one entity is represented or shown as the subject within portrait images created by another entity.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63493232881909fc33fb84da3e1b5 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.