Triple
T18400758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess Almaviva |
E449985
|
entity |
| Predicate | premiereOperaDate |
P130980
|
FINISHED |
| Object | 1786-05-01 |
—
|
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: 1786-05-01 | Statement: [Countess Almaviva, premiereOperaDate, 1786-05-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiereOperaDate Context triple: [Countess Almaviva, premiereOperaDate, 1786-05-01]
-
A.
premiereOpera
Indicates that an entity debuts or first publicly presents an opera work.
-
B.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
-
C.
operaPremiereContext
Indicates the circumstances or setting (such as time, place, or event) in which an opera had its premiere performance.
-
D.
premiereOnBroadway
Indicates that a theatrical production has its first official public performance on Broadway.
-
E.
premieredWith
Indicates that one entity made its first public debut or initial showing together with another entity, at the same time or in the same event.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5194f2a8c8190afcd7db23e3795fb |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.