Triple
T2797711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Well-Tempered Clavier |
E53077
|
entity |
| Predicate | numberOfFugues |
P43233
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [The Well-Tempered Clavier, numberOfFugues, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFugues Context triple: [The Well-Tempered Clavier, numberOfFugues, 24]
-
A.
numberOfConcertosComposed
Indicates the total count of concertos that an entity has composed.
-
B.
finalFugueSubjectMaterial
Indicates that the material is used as the subject in the final fugue section or passage of a musical work.
-
C.
numberOfOrganPipes
Indicates the quantitative relationship specifying how many organ pipes are associated with a given organ or organ-related entity.
-
D.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
E.
numberOfCantiche
Indicates the total count of cantiche (major sections or cantos) associated with a given work or entity.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:58 p.m.