Triple
T32902660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senta |
E841651
|
entity |
| Predicate | composerStyleContext |
P53017
|
FINISHED |
| Object | early Wagner |
—
|
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: early Wagner | Statement: [Senta, composerStyleContext, early Wagner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerStyleContext Context triple: [Senta, composerStyleContext, early Wagner]
-
A.
composerStyle
chosen
Indicates that one entity is a composer and the other represents the musical style or genre characteristic of that composer's work.
-
B.
styleContext
Indicates that one entity provides the stylistic or formatting context within which another entity is interpreted or rendered.
-
C.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
-
D.
formatContext
Indicates the contextual or situational conditions under which a particular format is defined, applied, or interpreted.
-
E.
compositionStyle
Indicates the characteristic manner or approach in which something is composed, such as its structural, aesthetic, or stylistic conventions.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 1:19 a.m.