Triple
T38120612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haus of Holbein |
E951921
|
entity |
| Predicate | hasCulturalCommentaryOn |
P22246
|
FINISHED |
| Object | modern beauty culture |
—
|
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: modern beauty culture | Statement: [Haus of Holbein, hasCulturalCommentaryOn, modern beauty culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalCommentaryOn Context triple: [Haus of Holbein, hasCulturalCommentaryOn, modern beauty culture]
-
A.
hasCulturalInterpretation
Indicates that something is understood, represented, or given meaning within a particular cultural context or tradition.
-
B.
hasCulturalReference
Indicates that one entity makes reference to, draws from, or is associated with the cultural content, symbols, or traditions represented by another entity.
-
C.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
D.
hasCulturalExpression
Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
-
E.
hasCommentaryOn
chosen
Indicates that one entity provides commentary, explanation, or evaluative remarks about 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 3, 2026, 4:21 p.m.