Triple
T3978387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1905 Salon d’Automne exhibition in Paris |
E85696
|
entity |
| Predicate | reviewPhrase |
P53151
|
FINISHED |
| Object | Donatello chez les fauves |
—
|
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: Donatello chez les fauves | Statement: [1905 Salon d’Automne exhibition in Paris, reviewPhrase, Donatello chez les fauves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewPhrase Context triple: [1905 Salon d’Automne exhibition in Paris, reviewPhrase, Donatello chez les fauves]
-
A.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
-
B.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
C.
ratingDescription
Indicates the textual explanation or qualitative summary associated with a given rating or score.
-
D.
reviewScope
Indicates the extent, boundaries, or aspects of something that are covered, considered, or evaluated during a review.
-
E.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
- F. None of above. chosen
Provenance (4 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa3cf4048190837f9ec5fa8e95e3 |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:33 p.m.