Triple
T30807160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Танец Феи Драже |
E784533
|
entity |
| Predicate | связанное произведение |
P106268
|
FINISHED |
| Object | балет «Щелкунчик», соч. 71 |
—
|
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: балет «Щелкунчик», соч. 71 | Statement: [Танец Феи Драже, связанное произведение, балет «Щелкунчик», соч. 71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: связанное произведение Context triple: [Танец Феи Драже, связанное произведение, балет «Щелкунчик», соч. 71]
-
A.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
B.
hasAssociatedWorkOfFiction
chosen
Indicates that an entity is linked to a related work of fiction, such as a novel, film, or story that is associated with it.
-
C.
relatedToInFiction
Indicates that one entity is connected to another within a fictional context, such as a story, universe, or narrative work.
-
D.
relatedToAuthorWork
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
-
E.
relatedToProduct
Indicates a general association or connection between an entity and a specific product, without specifying the exact nature of that relationship.
- 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_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 8:43 p.m.