Triple
T11755693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Fledermaus |
E279516
|
entity |
| Predicate | premiereTheatreType |
P16508
|
FINISHED |
| Object | Viennese suburban theatre |
—
|
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: Viennese suburban theatre | Statement: [Die Fledermaus, premiereTheatreType, Viennese suburban theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiereTheatreType Context triple: [Die Fledermaus, premiereTheatreType, Viennese suburban theatre]
-
A.
theatreType
chosen
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
B.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
C.
premiereType
Indicates the specific kind or category of a premiere event associated with an entity (such as world premiere, national premiere, or regional premiere).
-
D.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
E.
typicalTheatre
Indicates that something is characteristic of or commonly found in a theatre setting.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50c8d708190ad79ecb57b715d04 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.