Triple
T1564489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Threepenny Opera |
E33400
|
entity |
| Predicate | theatricalStyle |
P3174
|
FINISHED |
| Object | epic 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: epic theatre | Statement: [The Threepenny Opera, theatricalStyle, epic theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalStyle Context triple: [The Threepenny Opera, theatricalStyle, epic theatre]
-
A.
theatricalSetting
Indicates the spatial or contextual environment in which a theatrical performance or dramatic action takes place.
-
B.
theatricalContext
Indicates the situational or environmental circumstances related to a theatrical performance or production in which an action or relationship occurs.
-
C.
dramaticConvention
Indicates a relationship where a particular technique, device, or practice is recognized and used as an accepted convention within dramatic or theatrical storytelling.
-
D.
dramaticForm
chosen
Indicates that one entity is expressed, structured, or realized in the form of a particular dramatic genre or theatrical mode.
-
E.
dramaticRole
Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.