Triple
T29010270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valse noble |
E736543
|
entity |
| Predicate | opusNumberOfParentWork |
P165901
|
FINISHED |
| Object | Op. 9 |
—
|
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: Op. 9 | Statement: [Valse noble, opusNumberOfParentWork, Op. 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opusNumberOfParentWork Context triple: [Valse noble, opusNumberOfParentWork, Op. 9]
-
A.
numberOfPapers
Indicates the quantity of papers associated with a given entity.
-
B.
isAcademicPublicationOf
Indicates that one entity is an academic publication (e.g., paper, article, or report) that has been produced by or is associated with another entity.
-
C.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
D.
parentPublication
Indicates that one publication is the direct source, container, or higher-level work in which another publication appears or from which it is derived.
-
E.
notableWorkCount
Indicates the number of notable works associated with an 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fdb92508190bd0e7fe7877cdae2 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:41 a.m.