Triple
T30588173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varenne |
E778573
|
entity |
| Predicate | hasArtDisplay |
P17367
|
FINISHED |
| Object | sculpture reproductions from Musée Rodin |
—
|
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: sculpture reproductions from Musée Rodin | Statement: [Varenne, hasArtDisplay, sculpture reproductions from Musée Rodin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtDisplay Context triple: [Varenne, hasArtDisplay, sculpture reproductions from Musée Rodin]
-
A.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
B.
hasArtCollection
chosen
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
C.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
D.
hasExhibitionFunction
Indicates that an entity serves the role or purpose of exhibiting, displaying, or presenting something (e.g., objects, works, or information).
-
E.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 29, 2026, 8:24 p.m.