Triple
T38599416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozart–Da Ponte trilogy |
E934167
|
entity |
| Predicate | hasScholarlyTopic |
P186299
|
FINISHED |
| Object | Mozart studies |
—
|
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: Mozart studies | Statement: [Mozart–Da Ponte trilogy, hasScholarlyTopic, Mozart studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScholarlyTopic Context triple: [Mozart–Da Ponte trilogy, hasScholarlyTopic, Mozart studies]
-
A.
scholarlyTopicInWorksBy
chosen
Indicates that a particular scholarly topic is discussed, analyzed, or treated within the works produced by a specified author or creator.
-
B.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
C.
hasAcademicScope
Indicates that something pertains to, falls within, or defines a particular academic field, discipline, or area of scholarly focus.
-
D.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
E.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
- 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_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: May 3, 2026, 4:32 p.m.