Triple
T28050671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Peony Pavilion |
E708809
|
entity |
| Predicate | operaStyle |
P192550
|
FINISHED |
| Object | Kunqu |
—
|
NE NERFINISHED |
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: Kunqu | Statement: [The Peony Pavilion, operaStyle, Kunqu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaStyle Context triple: [The Peony Pavilion, operaStyle, Kunqu]
-
A.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
B.
operaGenre
Indicates that an opera belongs to or is categorized under a particular musical or dramatic genre.
-
C.
operaForm
chosen
Indicates that one entity is a specific form, style, or structural type of opera in relation to another entity.
-
D.
operaEnÁmbito
Indicates that an entity operates, functions, or carries out its activities within a specified domain, field, or scope.
-
E.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: April 27, 2026, 8:33 p.m.