Triple
T37580679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapelle du Château de Vallauris |
E934947
|
entity |
| Predicate | artistOfNotableWorkContained |
P132719
|
FINISHED |
| Object | Pablo Picasso |
—
|
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: Pablo Picasso | Statement: [Chapelle du Château de Vallauris, artistOfNotableWorkContained, Pablo Picasso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistOfNotableWorkContained Context triple: [Chapelle du Château de Vallauris, artistOfNotableWorkContained, Pablo Picasso]
-
A.
hasArtistOfNotableWork
chosen
Indicates that an entity is associated with the artist who created a notable work related to that entity.
-
B.
producerOfNotableWork
Indicates that an entity is the creator or producer responsible for a notable work, such as a significant artistic, literary, or intellectual product.
-
C.
namedForNotableWork
Indicates that one entity is named in honor of another entity’s notable work or achievement.
-
D.
notableWorkSubject
Indicates that a work is notably associated with a particular subject, such as a person, topic, or entity, as its primary focus or theme.
-
E.
notableWorkAuthor
Indicates that one entity is the creator or author of a notable work associated with 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.