Triple
T548735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Madame Récamier |
E12789
|
entity |
| Predicate | depictsSocialStatus |
P1581
|
FINISHED |
| Object | Parisian high society |
—
|
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: Parisian high society | Statement: [Portrait of Madame Récamier, depictsSocialStatus, Parisian high society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsSocialStatus Context triple: [Portrait of Madame Récamier, depictsSocialStatus, Parisian high society]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
-
C.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
D.
depictsResidence
Indicates that one entity visually represents or portrays the place where another entity lives or resides.
-
E.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.