Triple
T6337704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Ossetian State Academic Theater |
E142532
|
entity |
| Predicate | theaterGenre |
P41553
|
FINISHED |
| Object | drama |
—
|
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: drama | Statement: [North Ossetian State Academic Theater, theaterGenre, drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theaterGenre Context triple: [North Ossetian State Academic Theater, theaterGenre, drama]
-
A.
theatricalGenre
chosen
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
B.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
C.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
D.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
E.
dramaType
Indicates the specific category or genre of drama that characterizes an entity or work.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.