Triple
T37359287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deh vieni, non tardar |
E927535
|
entity |
| Predicate | originalTitleOfOpera |
P204101
|
FINISHED |
| Object | Le nozze di Figaro, ossia la folle giornata |
E272019
|
NE 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: Le nozze di Figaro, ossia la folle giornata | Statement: [Deh vieni, non tardar, originalTitleOfOpera, Le nozze di Figaro, ossia la folle giornata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleOfOpera Context triple: [Deh vieni, non tardar, originalTitleOfOpera, Le nozze di Figaro, ossia la folle giornata]
-
A.
operaOriginalTitle
chosen
Indicates the original title under which an opera was first created or presented, before any translations or adaptations.
-
B.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
C.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
D.
originalTitleUsedIn
Indicates that an entity’s original title is used in or associated with a particular work, edition, or context.
-
E.
operaFinalTitle
Indicates that the object is the final or definitive title assigned to the opera referenced by the subject.
- F. None of above.
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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406ce4e0048190b9489bd156f5fc32 |
completed | June 28, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.