Triple
T38599106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Symphony |
E934160
|
entity |
| Predicate | hasCatalogingIssue |
P180700
|
FINISHED |
| Object | authorship disputed among musicologists |
—
|
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: authorship disputed among musicologists | Statement: [Toy Symphony, hasCatalogingIssue, authorship disputed among musicologists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogingIssue Context triple: [Toy Symphony, hasCatalogingIssue, authorship disputed among musicologists]
-
A.
hasLibraryClassificationIssues
chosen
Indicates that there are problems, inconsistencies, or errors in how an item is classified or cataloged within a library system.
-
B.
hasIssueWith
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
C.
hasCataloguedTitle
Indicates that an entity has a specific title recorded or listed in a catalog or cataloging system.
-
D.
hasCertificationIssueIn
Indicates that an entity has a certification-related problem, defect, or noncompliance occurring within a specified context, scope, or location.
-
E.
hasCoverArtIssue
Indicates that there is a problem, defect, or inconsistency associated with the cover art of an item.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
Created at: May 3, 2026, 4:32 p.m.