Triple
T6288426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Verdi |
E140955
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aida |
E455387
|
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: Aida | Statement: [Giuseppe Verdi, notableWork, Aida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aida Context triple: [Giuseppe Verdi, notableWork, Aida]
-
A.
Aida
Aida is a Broadway musical, with music by Elton John and lyrics by Tim Rice, that retells the tragic love story between an enslaved Nubian princess and an Egyptian soldier.
-
B.
"Aida"
chosen
"Aida" is Giuseppe Verdi's grand opera set in ancient Egypt, renowned for its dramatic love triangle, monumental choruses, and powerful arias.
-
C.
Orfeo
Orfeo is a classical music record label known for its high-quality recordings of orchestral, operatic, and chamber music.
-
D.
Brida
Brida is a novel by Brazilian author Paulo Coelho that follows a young Irish woman’s spiritual journey as she explores witchcraft, love, and self-discovery.
-
E.
Baraka
Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
- 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.