Triple
T37922629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O welche Lust |
E946004
|
entity |
| Predicate | operaOriginalTitle |
P204101
|
FINISHED |
| Object | Leonore, oder Der Triumph der ehelichen Liebe |
E280010
|
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: Leonore, oder Der Triumph der ehelichen Liebe | Statement: [O welche Lust, operaOriginalTitle, Leonore, oder Der Triumph der ehelichen Liebe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaOriginalTitle Context triple: [O welche Lust, operaOriginalTitle, Leonore, oder Der Triumph der ehelichen Liebe]
-
A.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
B.
operaTitleCharacter
Indicates that a character is the title (namesake) character of a given opera.
-
C.
operaTypeOfWorkAppearsIn
Indicates that a particular type of work (e.g., aria, overture) occurs within or is featured in a specific opera.
-
D.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
-
E.
operaHouseOfPremiere
Indicates the opera house where a particular work was first premiered or originally performed.
- F. None of above. chosen
Provenance (5 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a03232efd8481908ee25447a29ee20b |
completed | May 12, 2026, 12:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415d1e75a881909d0706a77854f10a |
completed | June 28, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_6a032269dcb08190907c965c28145b77 |
completed | May 12, 2026, 12:51 p.m. |
| PDg | Predicate description generation | batch_6a03232e53788190abf17396e8d02dbf |
completed | May 12, 2026, 12:55 p.m. |
Created at: May 3, 2026, 4:20 p.m.