Triple
T8520122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 2 in C major, Op. 61 |
E201673
|
entity |
| Predicate | scherzoPosition |
P39838
|
FINISHED |
| Object | second movement |
—
|
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: second movement | Statement: [Symphony No. 2 in C major, Op. 61, scherzoPosition, second movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scherzoPosition Context triple: [Symphony No. 2 in C major, Op. 61, scherzoPosition, second movement]
-
A.
scherzoKey
Indicates the musical key in which the scherzo section of a composition is written.
-
B.
positionInNotation
chosen
Indicates the specific place or index that an element occupies within a given ordered notation or representation.
-
C.
theoreticalPosition
Indicates a relationship where one entity holds, represents, or is associated with a particular theoretical stance, framework, or viewpoint regarding another entity or subject.
-
D.
positionOnKuhn
Indicates the stance or viewpoint an entity holds regarding Kuhn’s theories or framework.
-
E.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe628f8c48190a35201f9fde605cc |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.