Triple
T20258628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise de Broglie, Countess d’Haussonville |
E498770
|
entity |
| Predicate | portraitGenre |
P95473
|
FINISHED |
| Object | society portrait |
—
|
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: society portrait | Statement: [Louise de Broglie, Countess d’Haussonville, portraitGenre, society portrait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraitGenre Context triple: [Louise de Broglie, Countess d’Haussonville, portraitGenre, society portrait]
-
A.
filmPortrayer
Indicates that one entity portrays or plays the role of another entity (such as a character or person) in a film.
-
B.
visualGenre
chosen
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
-
C.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
-
D.
portraysGenreConvention
Indicates that an entity depicts or exemplifies a characteristic convention, trope, or stylistic feature associated with a particular genre.
-
E.
portraitSpecialization
Indicates that one entity specializes in creating or working with portraits, distinguishing a focused area of expertise within a broader artistic or professional domain.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c84e848190a6e8956698b84026 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.