Triple
T27968610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 羅家英 |
E704792
|
entity |
| Predicate | performedArtForm |
P42078
|
FINISHED |
| Object | Cantonese opera |
—
|
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: Cantonese opera | Statement: [羅家英, performedArtForm, Cantonese opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedArtForm Context triple: [羅家英, performedArtForm, Cantonese opera]
-
A.
performingArtsWorkOf
Indicates that one entity is a performing arts work (such as a play, dance, or musical performance) created by or belonging to another entity.
-
B.
portraysArtForm
Indicates that one entity artistically represents, depicts, or expresses a particular art form.
-
C.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
D.
depictedPerforming
Indicates that one entity is shown or illustrated as carrying out an action or activity.
-
E.
primaryArtForm
chosen
Indicates the main artistic medium or discipline through which an entity primarily expresses or presents its creative 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 27, 2026, 7:36 p.m.