Triple
T8107287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opéra-Comique |
E189257
|
entity |
| Predicate | typicalWorkFeature |
P5084
|
FINISHED |
| Object | musical numbers separated by 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: musical numbers separated by spoken dialogue | Statement: [Opéra-Comique, typicalWorkFeature, musical numbers separated by spoken dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWorkFeature Context triple: [Opéra-Comique, typicalWorkFeature, musical numbers separated by spoken dialogue]
-
A.
typicalFeatures
chosen
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
B.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
C.
workFeatured
Indicates that one work is highlighted, showcased, or given special prominence within a particular context, collection, or presentation.
-
D.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
E.
worksFor
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42f89dd481908f1a25e4b16a8fc8 |
completed | March 31, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:32 p.m.