Triple
T6288434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Verdi |
E140955
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Simon Boccanegra |
E520446
|
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: Simon Boccanegra | Statement: [Giuseppe Verdi, notableWork, Simon Boccanegra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Boccanegra Context triple: [Giuseppe Verdi, notableWork, Simon Boccanegra]
-
A.
Simon Boccanegra
chosen
Simon Boccanegra is an opera by Giuseppe Verdi that tells the politically charged and emotionally complex story of a 14th-century Genoese doge.
-
B.
Tosca
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
C.
Rienzi
Rienzi is an early grand opera by Richard Wagner that helped establish his reputation through its dramatic political themes and large-scale choral writing.
-
D.
Bernabó
Bernabó is the Italian-origin surname of the Argentine-Brazilian artist and illustrator known as Carybé (Héctor Julio Páride Bernabó).
-
E.
Rigoletto
Rigoletto is a renowned opera by Giuseppe Verdi, celebrated for its dramatic intensity and iconic arias such as "La donna è mobile."
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064182f60819093a8313e1dbf2763 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519794a9481909a72a8dcdfaf41f8 |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:26 p.m.