Triple
T27773890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peer Gynt Suite No. 2 |
E699131
|
entity |
| Predicate | composerBirthCountry |
P143926
|
FINISHED |
| Object | Norway |
—
|
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: Norway | Statement: [Peer Gynt Suite No. 2, composerBirthCountry, Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerBirthCountry Context triple: [Peer Gynt Suite No. 2, composerBirthCountry, Norway]
-
A.
creatorCountryOfBirth
Indicates the country where the creator of an entity was born.
-
B.
countryOfOriginOfComposer
chosen
Indicates the country from which a composer originates or is associated as their place of origin.
-
C.
composerCountry
Indicates the country with which a composer is associated, typically by birth, citizenship, or primary activity.
-
D.
coArtistNationality
Indicates that two artists who have collaborated share the same nationality.
-
E.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 5:04 p.m.