Triple
T37886310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hess 34 |
E945002
|
entity |
| Predicate | originalWorkOpusNumber |
P204447
|
FINISHED |
| Object | Op. 14 No. 1 |
—
|
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. 14 No. 1 | Statement: [Hess 34, originalWorkOpusNumber, Op. 14 No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkOpusNumber Context triple: [Hess 34, originalWorkOpusNumber, Op. 14 No. 1]
-
A.
authorWorkNumber
Indicates the specific ordinal number or position of a work within an author's body of works.
-
B.
hasOriginalWorkVolumeNumber
Indicates the association between a work (or its edition) and the volume number it had in the original multi-volume publication.
-
C.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
D.
workNumberInOpus8
Indicates that a work is assigned a specific number within Opus 8 of a composer’s catalog.
-
E.
originalPublicationOfWholeWork
Indicates that one entity is the original publication in which an entire work was first made publicly available.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.