Triple
T28262604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Près des remparts de Séville |
E712619
|
entity |
| Predicate | basedOnAuthorOfOperaSource |
P118459
|
FINISHED |
| Object | Prosper Mérimée |
—
|
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: Prosper Mérimée | Statement: [Près des remparts de Séville, basedOnAuthorOfOperaSource, Prosper Mérimée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnAuthorOfOperaSource Context triple: [Près des remparts de Séville, basedOnAuthorOfOperaSource, Prosper Mérimée]
-
A.
basedOnAuthor
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
-
B.
authorialSource
Indicates that one entity serves as the originating author or creator of the content, work, or information associated with another entity.
-
C.
operaLibrettistOfAdaptation
chosen
Indicates that one entity is the librettist who wrote the text for an operatic adaptation of another work.
-
D.
basedOnWorkLibrettist
Indicates that one work is based on another work specifically in terms of its libretto, identifying the source work whose libretto served as the basis.
-
E.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 27, 2026, 11:12 p.m.