Triple
T31490424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridal Chorus |
E803389
|
entity |
| Predicate | inOperaCharacterContext |
P148812
|
FINISHED |
| Object | sung for Elsa of Brabant |
—
|
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: sung for Elsa of Brabant | Statement: [Bridal Chorus, inOperaCharacterContext, sung for Elsa of Brabant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inOperaCharacterContext Context triple: [Bridal Chorus, inOperaCharacterContext, sung for Elsa of Brabant]
-
A.
operaActRole
Indicates the role or character that a performer portrays in a specific act of an opera.
-
B.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
C.
operaOrOratorioCharacterType
chosen
Indicates that the subject is a character type or role as it appears specifically within an opera or an oratorio.
-
D.
operaTitleCharacter
Indicates that a character is the title (namesake) character of a given opera.
-
E.
inOperaRepertoire
Indicates that a musical work is included as part of the standard or active repertoire performed in opera productions.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1e4ca4881908146cb7b170209d6 |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:38 p.m.