Triple
T30845652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare Saint-Lazare series (Monet) |
E785623
|
entity |
| Predicate | collectionIncludesWorksIn |
P111604
|
FINISHED |
| Object | Musée d'Orsay |
—
|
NE NERFINISHED |
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: Musée d'Orsay | Statement: [Gare Saint-Lazare series (Monet), collectionIncludesWorksIn, Musée d'Orsay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionIncludesWorksIn Context triple: [Gare Saint-Lazare series (Monet), collectionIncludesWorksIn, Musée d'Orsay]
-
A.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
B.
containsWorksFrom
chosen
Indicates that one entity includes or holds works that originate from or are created by another entity.
-
C.
includesArtBy
Indicates that one entity contains, features, or presents artwork created by another entity.
-
D.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
E.
exhibitsWorkOf
Indicates that one entity displays or presents the creative works produced by 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 29, 2026, 8:46 p.m.