Triple
T1972638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith Nelson |
E42834
|
entity |
| Predicate | artisticSpecialty |
P9512
|
FINISHED |
| Object | historically informed performance |
—
|
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: historically informed performance | Statement: [Judith Nelson, artisticSpecialty, historically informed performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticSpecialty Context triple: [Judith Nelson, artisticSpecialty, historically informed performance]
-
A.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
B.
hasArtisticDiscipline
chosen
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
C.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
D.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f275408190affa93f8cb6a8184 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.