Triple
T37358583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leporello |
E927518
|
entity |
| Predicate | listsInCatalogueAria |
P88854
|
FINISHED |
| Object | Don Giovanni’s lovers in Italy |
—
|
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: Don Giovanni’s lovers in Italy | Statement: [Leporello, listsInCatalogueAria, Don Giovanni’s lovers in Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsInCatalogueAria Context triple: [Leporello, listsInCatalogueAria, Don Giovanni’s lovers in Italy]
-
A.
listsCategory
Indicates that one entity enumerates or displays the categories to which another entity belongs.
-
B.
listsMeans
Indicates that one entity enumerates or specifies the meaning, definition, or interpretation of another entity.
-
C.
catalogueFor
chosen
Indicates that one entity serves as a catalog or organized listing that describes, indexes, or inventories another entity.
-
D.
listsAmong
Indicates that one entity includes or enumerates another entity as part of a list or collection.
-
E.
listsName
Indicates that an entity presents or enumerates the name of another entity, typically as part of a list or catalog.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.