Triple
T25069489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mignon |
E627869
|
entity |
| Predicate | revisedVersionType |
P157604
|
FINISHED |
| Object | grand opera with recitatives |
—
|
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: grand opera with recitatives | Statement: [Mignon, revisedVersionType, grand opera with recitatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisedVersionType Context triple: [Mignon, revisedVersionType, grand opera with recitatives]
-
A.
revisionOf
Indicates that one entity is a modified or updated version of another earlier entity.
-
B.
updatesType
Indicates that one entity modifies, revises, or replaces the type or classification of another entity.
-
C.
revisedByStandard
Indicates that something has been updated or modified in accordance with a specified standard or set of standards.
-
D.
revisedSetting
Indicates that an existing setting or configuration has been modified or updated from its previous state.
-
E.
editedVersion
Indicates that one entity is a modified or revised version of another pre-existing entity.
- F. None of above. chosen
Provenance (4 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_69f45d1207f48190899c35231bec98b2 |
completed | May 1, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:10 a.m.