Triple
T12326704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il tabarro |
E293846
|
entity |
| Predicate | associatedWork |
P922
|
FINISHED |
| Object | Suor Angelica |
E293845
|
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: Suor Angelica | Statement: [Il tabarro, associatedWork, Suor Angelica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suor Angelica Context triple: [Il tabarro, associatedWork, Suor Angelica]
-
A.
Suor Angelica
chosen
Suor Angelica is a one-act Italian opera by Giacomo Puccini that tells the tragic story of a cloistered nun confronting her past and seeking spiritual redemption.
-
B.
The Prima Donna
The Prima Donna is a 1908 comic opera by composer Victor Herbert, known for its lighthearted romantic plot and melodious, operetta-style score.
-
C.
La voce d'angelo
La voce d'angelo is the celebrated epithet given to Italian soprano Renata Tebaldi, renowned for the exceptional purity and beauty of her operatic voice.
-
D.
La Bella
La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
-
E.
Prima Donna
Prima Donna is an American rock band known for its glam-punk style and energetic live performances.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8ed1dc81908a0066d7cbfda086 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:53 p.m.