Triple
T6288425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Verdi |
E140955
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Il Trovatore |
E469834
|
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: Il Trovatore | Statement: [Giuseppe Verdi, notableWork, Il Trovatore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Il Trovatore Context triple: [Giuseppe Verdi, notableWork, Il Trovatore]
-
A.
Il trovatore
chosen
Il trovatore is a renowned four-act opera by Giuseppe Verdi, celebrated for its dramatic intensity and demanding vocal roles.
-
B.
Carmen
Carmen is a famous opera by Georges Bizet, renowned for its passionate music and tragic story centered on the free-spirited gypsy Carmen.
-
C.
Carmen
Carmen is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
-
D.
Carmen
Carmen is a feminine given name of Latin origin, widely used in Spanish-speaking cultures and beyond.
-
E.
Carmen
Carmen is a landlocked municipality in the central part of Bohol Island in the Philippines, known for its proximity to the famous Chocolate Hills.
- 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.