Triple
T13478207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Madame de Pompadour |
E318302
|
entity |
| Predicate | portraysSocialStatus |
P50333
|
FINISHED |
| Object | aristocracy |
—
|
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: aristocracy | Statement: [Portrait of Madame de Pompadour, portraysSocialStatus, aristocracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSocialStatus Context triple: [Portrait of Madame de Pompadour, portraysSocialStatus, aristocracy]
-
A.
subjectSocialStatus
Indicates the social standing or rank that the subject holds within a society or group.
-
B.
portraysState
chosen
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
-
C.
portraysSocialIssue
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
D.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
E.
socialClassSystem
Indicates a hierarchical organization of people into social classes based on status, power, or economic position.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.