Triple
T21735892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aranjuez (Mon Amour) |
E536520
|
entity |
| Predicate | derivesFromGenre |
P20936
|
FINISHED |
| Object | classical concerto |
—
|
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: classical concerto | Statement: [Aranjuez (Mon Amour), derivesFromGenre, classical concerto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivesFromGenre Context triple: [Aranjuez (Mon Amour), derivesFromGenre, classical concerto]
-
A.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
B.
influencedByGenre
chosen
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
C.
hasGenreAsOutput
Indicates that an entity produces, results in, or outputs a particular genre as its outcome.
-
D.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
E.
isAssociatedWithSubgenre
Indicates that one entity has a connection or linkage to a specific subgenre of a broader category.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0c0a088190bd1926fa4b73d8f4 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.