Triple
T34371162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | premio Sonzogno for Cavalleria rusticana |
E882157
|
entity |
| Predicate | awardedWorkType |
P183287
|
FINISHED |
| Object | one-act verismo opera |
—
|
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: one-act verismo opera | Statement: [premio Sonzogno for Cavalleria rusticana, awardedWorkType, one-act verismo opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedWorkType Context triple: [premio Sonzogno for Cavalleria rusticana, awardedWorkType, one-act verismo opera]
-
A.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
B.
awardedForWorkOn
Indicates that one entity grants an award or recognition to another entity specifically for that entity’s work on a particular project, task, or subject.
-
C.
nominatedWorkType
Indicates the type or category of work for which an entity has been nominated.
-
D.
typicalAwardedWorkForm
Indicates the usual or standard form in which a work is granted or awarded (e.g., as a prize, grant, or recognition).
-
E.
categoryOfAwardedWork
chosen
Indicates the category or type of work for which an award is given.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 1:59 a.m.