Triple
T8994554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavaradossi |
E214870
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Tosca |
E269215
|
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: Tosca | Statement: [Cavaradossi, appearsIn, Tosca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosca Context triple: [Cavaradossi, appearsIn, Tosca]
-
A.
Tosca
chosen
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
B.
Lorenzaccio
Lorenzaccio is a 19th-century French Romantic drama by Alfred de Musset, renowned for its complex, brooding title character and its exploration of political corruption and moral ambiguity in Renaissance Florence.
-
C.
Simon Boccanegra
Simon Boccanegra is an opera by Giuseppe Verdi that tells the politically charged and emotionally complex story of a 14th-century Genoese doge.
-
D.
Rigoletto
Rigoletto is a renowned opera by Giuseppe Verdi, celebrated for its dramatic intensity and iconic arias such as "La donna è mobile."
-
E.
Il tabarro
Il tabarro is a one-act verismo opera by Giacomo Puccini, known for its dark, atmospheric portrayal of jealousy and murder among dockworkers on the Seine in Paris.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d0e6a08190a2faf4157b8a9cd4 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:04 p.m.