Triple
T18518512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Love for Three Oranges |
E452525
|
entity |
| Predicate | firstRussianPremiereYear |
P131984
|
FINISHED |
| Object | 1926 |
—
|
LITERAL 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: 1926 | Statement: [The Love for Three Oranges, firstRussianPremiereYear, 1926]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRussianPremiereYear Context triple: [The Love for Three Oranges, firstRussianPremiereYear, 1926]
-
A.
firstFrenchPremiereDate
Indicates the date on which something (such as a work or event) was first premiered or publicly presented in France.
-
B.
firstPerformanceOfWorkYear
Indicates that the referenced performance is the first time a particular work was performed in a given calendar year.
-
C.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
D.
firstEnglishPerformanceYear
Indicates the year in which the entity’s first performance in English took place.
-
E.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
- F. None of above. chosen
Provenance (4 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338be20c8190bc7fe8de050345a2 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.