Triple
T30807125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Танец Феи Драже |
E784533
|
entity |
| Predicate | название на английском языке |
P3437
|
FINISHED |
| Object | Dance of the Sugar Plum Fairy |
—
|
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: Dance of the Sugar Plum Fairy | Statement: [Танец Феи Драже, название на английском языке, Dance of the Sugar Plum Fairy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: название на английском языке Context triple: [Танец Феи Драже, название на английском языке, Dance of the Sugar Plum Fairy]
-
A.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
B.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
C.
longNameInEnglish
Indicates that an entity’s full or extended name is given in the English language.
-
D.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
E.
multilingualName
Indicates that an entity has one or more names expressed in multiple natural languages.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:43 p.m.