Triple
T36036278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magic Crystal |
E1042409
|
entity |
| Predicate | languageOfComposer |
P202983
|
FINISHED |
| Object | Finnish |
—
|
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: Finnish | Statement: [The Magic Crystal, languageOfComposer, Finnish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfComposer Context triple: [The Magic Crystal, languageOfComposer, Finnish]
-
A.
compositionalLanguage
Indicates that one language is constructed from or systematically built upon elements, rules, or structures of another language.
-
B.
languageOfMusic
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
C.
languageOfAuthor
Indicates the language in which an author writes or has written their works.
-
D.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
-
E.
librettistNationality
Indicates the relationship between a librettist and the country or nationality with which they are associated.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00d820a7788190a8d54625cd87be68 |
completed | May 10, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_6a00d7c5b40c8190b80413238d04e81e |
completed | May 10, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_6a00d81fb5d8819096fa5e0771d69221 |
completed | May 10, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:07 p.m.