Triple
T7728335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leontyne Price |
E175188
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aida (role of Aida) |
E455385
|
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 (role of Aida) | Statement: [Leontyne Price, notableWork, Aida (role of Aida)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aida (role of Aida) Context triple: [Leontyne Price, notableWork, Aida (role of 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 in Verdi's "Aida"
chosen
Aida in Verdi's "Aida" is the title role of the enslaved Ethiopian princess in Giuseppe Verdi's grand opera, renowned for its demanding vocal writing and intense emotional depth.
-
C.
Radamès in Verdi's "Aida"
Radamès in Verdi's "Aida" is the heroic Egyptian military commander and tragic lover at the center of Giuseppe Verdi's grand opera.
-
D.
Aria
Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
-
E.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70315e8e88190a5c7e5d2f2ef66bc |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52adf6481908cb78e7cc7c4266d |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.