Triple
T23227476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I vespri siciliani |
E581051
|
entity |
| Predicate | originalVersionPremiereTitle |
P108532
|
FINISHED |
| Object | Les vêpres siciliennes |
—
|
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: Les vêpres siciliennes | Statement: [I vespri siciliani, originalVersionPremiereTitle, Les vêpres siciliennes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalVersionPremiereTitle Context triple: [I vespri siciliani, originalVersionPremiereTitle, Les vêpres siciliennes]
-
A.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
B.
originalTitleName
chosen
Indicates that one entity is the original or primary title name associated with another entity.
-
C.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
D.
recordedOriginalVersionOf
Indicates that one entity captured or produced the first or initial version of another entity in a recording.
-
E.
originalTitleStatus
Indicates whether a work’s title is the original one or has been altered, translated, or otherwise modified from its initial form.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922f5b4081908145d66ea7534493 |
completed | April 29, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.