Triple
T22718558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ombra mai fu |
E561798
|
entity |
| Predicate | misnomerExplanation |
P13450
|
FINISHED |
| Object | popularly called a Largo although marked Larghetto |
—
|
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: popularly called a Largo although marked Larghetto | Statement: [Ombra mai fu, misnomerExplanation, popularly called a Largo although marked Larghetto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misnomerExplanation Context triple: [Ombra mai fu, misnomerExplanation, popularly called a Largo although marked Larghetto]
-
A.
misidentifiedAs
Indicates that one entity has been incorrectly recognized, labeled, or understood as another, distinct entity.
-
B.
misrepresentedAs
Indicates that one entity is falsely or inaccurately presented, portrayed, or described as another entity or in another way.
-
C.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
D.
notOfficialNameOf
chosen
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
E.
notableMisconception
Indicates that a commonly held but incorrect belief or understanding exists about the subject.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:19 p.m.