Triple
T2797710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Well-Tempered Clavier |
E53077
|
entity |
| Predicate | numberOfPreludes |
P43232
|
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, numberOfPreludes, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPreludes Context triple: [The Well-Tempered Clavier, numberOfPreludes, 24]
-
A.
preludeTo
Indicates that one event, action, or state occurs earlier and serves as an introduction or lead-in to another.
-
B.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
-
C.
inBeethovenPianoSonataCycle
Indicates that something is part of, or occurs within, the cycle of Beethoven’s piano sonatas.
-
D.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
E.
numberInClassicalTradition
Indicates that an entity is associated with a specific number as defined or used within a particular classical tradition (e.g., mythology, religion, or philosophy).
- 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.