Triple
T35220847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | String Quartet in C major, Op. 33 No. 3 |
E1016948
|
entity |
| Predicate | cycleNickname |
P182624
|
FINISHED |
| Object | Russian Quartets |
—
|
NE NERFINISHED |
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: Russian Quartets | Statement: [String Quartet in C major, Op. 33 No. 3, cycleNickname, Russian Quartets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleNickname Context triple: [String Quartet in C major, Op. 33 No. 3, cycleNickname, Russian Quartets]
-
A.
cycleAuthor
Indicates that an entity is the author or creator responsible for a particular cycle (such as a recurring process, sequence, or version cycle).
-
B.
trackNickname
Indicates that one entity is known or referred to by a particular nickname within the context of a track or recording.
-
C.
cycleCentralTopic
Indicates that a topic serves as the main or focal subject around which a particular cycle or recurring process is organized.
-
D.
cycleSubtype
Indicates that one cycle is a more specific subtype or refinement of another, more general cycle.
-
E.
cycleTheme
Indicates a recurring subject, motif, or pattern that repeatedly appears or is developed across parts of a work, process, or sequence.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.