Triple
T37198100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosca |
E921647
|
entity |
| Predicate | firstConductorAtPremiere |
P41795
|
FINISHED |
| Object | Leopoldo Mugnone |
—
|
NE NERFINISHED |
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: Leopoldo Mugnone | Statement: [Tosca, firstConductorAtPremiere, Leopoldo Mugnone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConductorAtPremiere Context triple: [Tosca, firstConductorAtPremiere, Leopoldo Mugnone]
-
A.
conductorAtPremiere
chosen
Indicates that a person served as the conductor for the first public performance (premiere) of a specific work or event.
-
B.
firstUSPerformanceConductor
Indicates the conductor who led the work’s first performance in the United States.
-
C.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
D.
firstCompletePerformanceConductor
Indicates the conductor who led the first complete performance of a given work.
-
E.
principalGuestConductorOf
Indicates that one entity serves as the principal guest conductor for another entity, typically an orchestra or musical ensemble.
- F. None of above.
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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.