Triple
T3847268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden of Virtue and Harmony |
E85200
|
entity |
| Predicate | genreOfPerformances |
P41553
|
FINISHED |
| Object | Chinese opera |
—
|
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: Chinese opera | Statement: [Garden of Virtue and Harmony, genreOfPerformances, Chinese opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfPerformances Context triple: [Garden of Virtue and Harmony, genreOfPerformances, Chinese opera]
-
A.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
B.
theatricalGenre
chosen
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
C.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
D.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
E.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcb069881909d3536b18b7802a7 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.