Triple
T29722041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Female Cat |
E752079
|
entity |
| Predicate | artisticMediumContext |
P91702
|
FINISHED |
| Object | 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: opera | Statement: [Female Cat, artisticMediumContext, opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticMediumContext Context triple: [Female Cat, artisticMediumContext, opera]
-
A.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
B.
cultMedium
Indicates that a particular medium is used to culture or grow a specified biological or experimental sample.
-
C.
artSpecialty
chosen
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
D.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
E.
typeOfWorksListed
Indicates that the kinds or categories of works associated with an entity are specified or enumerated.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 7:37 p.m.