Triple
T30815200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great G minor Symphony |
E784755
|
entity |
| Predicate | openingThemeCharacteristic |
P180649
|
FINISHED |
| Object | syncopated accompaniment |
—
|
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: syncopated accompaniment | Statement: [Great G minor Symphony, openingThemeCharacteristic, syncopated accompaniment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingThemeCharacteristic Context triple: [Great G minor Symphony, openingThemeCharacteristic, syncopated accompaniment]
-
A.
openingThemeType
Indicates the type or category of an opening theme associated with a work or media.
-
B.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
C.
openingThemeBasedOn
Indicates that the opening theme of a work is derived from, inspired by, or adapted from another specified source.
-
D.
openingThemeComposer
Indicates that the subject is the person who composed the musical opening theme for the specified work or production.
-
E.
openingChapterTheme
Indicates that a particular theme is central to or characterizes the opening chapter of a work.
- F. None of above. chosen
Provenance (4 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 29, 2026, 8:43 p.m.