Triple
T37359336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sull'aria...che soave zeffiretto |
E927536
|
entity |
| Predicate | singersInDramatisPersonae |
P187989
|
FINISHED |
| Object | Countess Almaviva |
—
|
NE NERFINISHED |
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: Countess Almaviva | Statement: [Sull'aria...che soave zeffiretto, singersInDramatisPersonae, Countess Almaviva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singersInDramatisPersonae Context triple: [Sull'aria...che soave zeffiretto, singersInDramatisPersonae, Countess Almaviva]
-
A.
singerCharacterProfession
Indicates that the character’s profession or primary occupation is that of a singer.
-
B.
filmStarringSinger
Indicates that a film features a singer in a starring or leading role.
-
C.
characterSingersInStory
Indicates that a character performs singing within the context of a story.
-
D.
characterPerformer
Indicates that a performer portrays or voices a particular character in a work.
-
E.
sungInFilmBy
Indicates that a particular song was vocally performed in a film by a specific person or group.
- F. None of above. chosen
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_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.