Triple
T6891172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gondoliers |
E159048
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Savoy operas |
E513113
|
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: Savoy operas | Statement: [The Gondoliers, partOf, Savoy operas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savoy operas Context triple: [The Gondoliers, partOf, Savoy operas]
-
A.
opera seria
Opera seria is an 18th-century Italian operatic genre characterized by serious, often classical or mythological subjects, virtuosic vocal writing, and a formal structure centered on da capo arias.
-
B.
Ópera
Ópera is a central Madrid Metro station located near the historic Teatro Real opera house and Plaza de Oriente.
-
C.
Gilbert and Sullivan operas
chosen
Gilbert and Sullivan operas are a celebrated series of Victorian-era comic operas created by librettist W. S. Gilbert and composer Arthur Sullivan, known for their witty lyrics, memorable melodies, and satirical treatment of British society and institutions.
-
D.
Opera
Opera is a metro station on Cairo's Line 2 serving the downtown area near the Cairo Opera House and surrounding cultural landmarks.
-
E.
Opera
Opera is a web browser known for its built-in features like a free VPN, ad blocker, and integrated messaging tools.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92ecbdc8190992f9c7f4f33f4c4 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748d16e5c81909e35db99af5cfa51 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:24 p.m.