Triple
T37359301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deh vieni, non tardar |
E927535
|
entity |
| Predicate | operaCharacterAffiliation |
—
|
GENERATED |
| Object | servant of the Countess Almaviva |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaCharacterAffiliation Context triple: [Deh vieni, non tardar, operaCharacterAffiliation, servant of the Countess Almaviva]
-
A.
operaCharacterName
Indicates that the subject is the name (or names) of a character appearing in an opera.
-
B.
operaCharacterBasedOn
Indicates that an opera character is modeled after, inspired by, or derived from a particular real or fictional person or character.
-
C.
operaActRole
Indicates the role or character that a performer portrays in a specific act of an opera.
-
D.
characterAffiliationPortrayed
Indicates that a portrayal shows a character as being affiliated with a particular group, organization, or side.
-
E.
playerCharacterAffiliation
Indicates the group, faction, or organization with which a player-controlled character is associated or aligned.
- F. None of above. chosen
Provenance (1 batch)
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. |
Created at: May 3, 2026, 4:16 p.m.