Triple
T11912747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore Overture No. 2 |
E283434
|
entity |
| Predicate | numberOfLeonoreOverturesByBeethoven |
P102317
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Leonore Overture No. 2, numberOfLeonoreOverturesByBeethoven, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLeonoreOverturesByBeethoven Context triple: [Leonore Overture No. 2, numberOfLeonoreOverturesByBeethoven, 3]
-
A.
numberOfSymphonies
Indicates the total count of symphonies associated with a given entity.
-
B.
numberOfSonatas
Indicates the quantity of sonatas associated with a given entity.
-
C.
numberOfConcertosComposed
Indicates the total count of concertos that an entity has composed.
-
D.
catalogInBeethovenWerkverzeichnis
Indicates that a musical work is cataloged in the Beethoven Werkverzeichnis (Beethoven’s thematic or complete works catalog).
-
E.
estimatedNumberOfOperas
Indicates the approximate count of operas associated with an entity, rather than an exact, verified number.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:44 p.m.