Triple
T34371161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | premio Sonzogno for Cavalleria rusticana |
E882157
|
entity |
| Predicate | awardedWorkTitle |
P24259
|
FINISHED |
| Object | Cavalleria rusticana |
—
|
NE NERFINISHED |
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: Cavalleria rusticana | Statement: [premio Sonzogno for Cavalleria rusticana, awardedWorkTitle, Cavalleria rusticana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedWorkTitle Context triple: [premio Sonzogno for Cavalleria rusticana, awardedWorkTitle, Cavalleria rusticana]
-
A.
workTitleContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular work or title.
-
B.
hasTitleWork
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
-
C.
workTitle
chosen
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
D.
workTitleIn
Indicates that one entity is the title of a work (e.g., book, film, artwork) that appears within or is contained in another entity.
-
E.
overallTitleAwarded
Indicates that an entity has been granted an overall title or top-level award in a given context or competition.
- 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_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 1, 2026, 1:59 a.m.