Triple
T19426514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Études-tableaux, Op. 33 |
E485992
|
entity |
| Predicate | publishedNumberOfPieces |
P43231
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Études-tableaux, Op. 33, publishedNumberOfPieces, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishedNumberOfPieces Context triple: [Études-tableaux, Op. 33, publishedNumberOfPieces, 8]
-
A.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
B.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
C.
publishedWorksBy
Indicates that one entity has created works that have been made publicly available by another entity (such as an author’s works published by a publisher).
-
D.
numberOfPieces
chosen
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
E.
printsPublishedIn
Indicates that a print (such as an artwork or printed item) was published in a specific publication, venue, or medium.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63219f27481909fe686209defc971 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.