Triple
T24039584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyerbeer’s L’Africaine |
E595333
|
entity |
| Predicate | operaHouseForPremiere |
P134804
|
FINISHED |
| Object | Académie Impériale de Musique |
—
|
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: Académie Impériale de Musique | Statement: [Meyerbeer’s L’Africaine, operaHouseForPremiere, Académie Impériale de Musique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaHouseForPremiere Context triple: [Meyerbeer’s L’Africaine, operaHouseForPremiere, Académie Impériale de Musique]
-
A.
operaHouseOfPremiere
chosen
Indicates the opera house where a particular work was first premiered or originally performed.
-
B.
operaPremiereContext
Indicates the circumstances or setting (such as time, place, or event) in which an opera had its premiere performance.
-
C.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
-
D.
premiereOfFirstCompletedOpera
Indicates that the subject is the event or occasion at which the first fully completed opera by the referenced composer or creator was publicly premiered.
-
E.
hasOperaHouse
Indicates that one entity possesses, contains, or is the location of an opera house.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d7a51c8190b108a4f862843209 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:57 p.m.