Triple
T31305009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Щелкунчик |
E798312
|
entity |
| Predicate | ключевойПерсонаж |
P77485
|
FINISHED |
| Object | Мари |
—
|
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: Мари | Statement: [Щелкунчик, ключевойПерсонаж, Мари]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ключевойПерсонаж Context triple: [Щелкунчик, ключевойПерсонаж, Мари]
-
A.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
B.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
C.
controllingCharacter
Indicates that one character exerts control, influence, or authority over another character.
-
D.
characterInFocus
chosen
Indicates that a particular character is the primary subject or focal point within a given context, scene, or narrative segment.
-
E.
laterMainCharacterOf
Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.