Triple
T25069488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mignon |
E627869
|
entity |
| Predicate | originalVersionType |
P4682
|
FINISHED |
| Object | opéra comique with spoken dialogue |
—
|
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: opéra comique with spoken dialogue | Statement: [Mignon, originalVersionType, opéra comique with spoken dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalVersionType Context triple: [Mignon, originalVersionType, opéra comique with spoken dialogue]
-
A.
originalVersionStyle
Indicates that one entity represents the stylistic form or manner of expression used in the original version of another entity.
-
B.
originalVersionRecordedBy
Indicates that the original version of a work (e.g., a song or recording) was recorded by a specific performer or recording entity.
-
C.
originalTextVersion
Indicates that one text is the original version from which another text (such as a translation, revision, or adaptation) is derived.
-
D.
originalType
chosen
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
E.
originalRelease
Indicates the initial publication or first official release event of a work or product.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 18, 2026, 6:10 a.m.