Triple
T26528702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarín |
E670759
|
entity |
| Predicate | genreConvention |
P105219
|
FINISHED |
| Object | exemplifies the gracioso type in Spanish comedia |
—
|
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: exemplifies the gracioso type in Spanish comedia | Statement: [Clarín, genreConvention, exemplifies the gracioso type in Spanish comedia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreConvention Context triple: [Clarín, genreConvention, exemplifies the gracioso type in Spanish comedia]
-
A.
portraysGenreConvention
chosen
Indicates that an entity depicts or exemplifies a characteristic convention, trope, or stylistic feature associated with a particular genre.
-
B.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
C.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
D.
genreDocumented
Indicates that a work’s genre has been formally recorded or documented.
-
E.
genreEdited
Indicates that an entity has been edited or modified to change or refine its genre classification.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 1:34 a.m.