Triple
T21501739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo Tajo |
E530489
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Bartolo in "Le nozze di Figaro" |
—
|
NE NERFINISHED |
How this triple was built (3 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: Bartolo in "Le nozze di Figaro" | Statement: [Italo Tajo, notableRole, Bartolo in "Le nozze di Figaro"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartolo in "Le nozze di Figaro" Context triple: [Italo Tajo, notableRole, Bartolo in "Le nozze di Figaro"]
-
A.
Figaro in Rossini's Il barbiere di Siviglia
Figaro in Rossini's Il barbiere di Siviglia is the quick-witted Seville barber whose scheming and resourcefulness drive the comic plot of Rossini’s famous opera.
-
B.
Figaro in Mozart’s Le nozze di Figaro
Figaro in Mozart’s Le nozze di Figaro is the clever, quick-witted valet at the center of Mozart and Da Ponte’s comic opera, whose schemes drive the plot’s intricate romantic and social intrigues.
-
C.
Countess Almaviva in Mozart’s "Le nozze di Figaro"
Countess Almaviva in Mozart’s "Le nozze di Figaro" is a noblewoman and central soprano role whose emotional depth, dignity, and forgiveness anchor the opera’s blend of comedy and social critique.
-
D.
Don Basilio in Rossini's "The Barber of Seville"
Don Basilio in Rossini's "The Barber of Seville" is a scheming, hypocritical music teacher and clergyman whose comic plotting and famous slander aria drive much of the opera’s intrigue.
-
E.
Falling for Figaro
Falling for Figaro is a romantic comedy film set in the world of opera, following an aspiring singer who leaves her corporate job to train for a prestigious singing competition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bartolo in "Le nozze di Figaro" Target entity description: Bartolo in "Le nozze di Figaro" is the comic, scheming doctor and guardian whose thwarted plans drive much of the opera’s farcical intrigue.
-
A.
Figaro in Rossini's Il barbiere di Siviglia
Figaro in Rossini's Il barbiere di Siviglia is the quick-witted Seville barber whose scheming and resourcefulness drive the comic plot of Rossini’s famous opera.
-
B.
Figaro in Mozart’s Le nozze di Figaro
Figaro in Mozart’s Le nozze di Figaro is the clever, quick-witted valet at the center of Mozart and Da Ponte’s comic opera, whose schemes drive the plot’s intricate romantic and social intrigues.
-
C.
Countess Almaviva in Mozart’s "Le nozze di Figaro"
Countess Almaviva in Mozart’s "Le nozze di Figaro" is a noblewoman and central soprano role whose emotional depth, dignity, and forgiveness anchor the opera’s blend of comedy and social critique.
-
D.
Don Basilio in Rossini's "The Barber of Seville"
Don Basilio in Rossini's "The Barber of Seville" is a scheming, hypocritical music teacher and clergyman whose comic plotting and famous slander aria drive much of the opera’s intrigue.
-
E.
Falling for Figaro
Falling for Figaro is a romantic comedy film set in the world of opera, following an aspiring singer who leaves her corporate job to train for a prestigious singing competition.
- F. None of above. chosen
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5d209881908754eb07a47e478a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.