Triple
T12326513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La fanciulla del West |
E293842
|
entity |
| Predicate | firstEuropeanPerformanceYear |
P104492
|
FINISHED |
| Object | 1911 |
—
|
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: 1911 | Statement: [La fanciulla del West, firstEuropeanPerformanceYear, 1911]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEuropeanPerformanceYear Context triple: [La fanciulla del West, firstEuropeanPerformanceYear, 1911]
-
A.
firstEnglishPerformanceYear
Indicates the year in which the entity’s first performance in English took place.
-
B.
firstPerformanceOfWorkYear
Indicates that the referenced performance is the first time a particular work was performed in a given calendar year.
-
C.
firstNonBayreuthPerformanceYear
Indicates the year in which a work was first performed outside of Bayreuth.
-
D.
firstPerformanceAt
Indicates the location or event at which an entity (such as a work or performance) was first performed.
-
E.
firstPerformanceOperaYear
Indicates the year in which an opera was first performed.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.