Triple
T8908447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scapino Overture |
E212120
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Scapino |
E540975
|
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: Scapino | Statement: [Scapino Overture, inspiredBy, Scapino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scapino Context triple: [Scapino Overture, inspiredBy, Scapino]
-
A.
Brighella
chosen
Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
-
B.
Grumio
Grumio is a comic servant character in William Shakespeare's play "The Taming of the Shrew," known for his humorous misunderstandings and interactions with his master Petruchio.
-
C.
Figaro
Figaro is a production company known for its work on the cooking and lifestyle television series "The Barefoot Contessa."
-
D.
Figaro
Figaro is the playful black-and-white kitten from Disney’s classic animated films, best known as a companion to characters like Geppetto and Minnie Mouse.
-
E.
Figaro
Figaro is the clever, quick-witted barber who serves as the central character in Beaumarchais’s plays and later in Rossini’s opera "The Barber of Seville."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65207bbc8190be181555b9564797 |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba31fc148190a8dbe378694dcc32 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.