Triple
T19150118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatyana Larina |
E468781
|
entity |
| Predicate | placeOfResidenceInFiction |
P120353
|
FINISHED |
| Object | Russian countryside |
—
|
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: Russian countryside | Statement: [Tatyana Larina, placeOfResidenceInFiction, Russian countryside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfResidenceInFiction Context triple: [Tatyana Larina, placeOfResidenceInFiction, Russian countryside]
-
A.
basedInFictionalWorkLocation
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
-
B.
residentInFiction
chosen
Indicates that one entity is a fictional character or element that resides or exists within the fictional setting, world, or universe represented by another entity.
-
C.
settingOfFictionalResidence
Indicates that a location serves as the setting or backdrop for a fictional residence within a narrative work.
-
D.
cityOfFictionalResidence
Indicates that a fictional character or entity resides in, or is associated with living in, a particular city within a narrative or fictional context.
-
E.
stateOfFictionalResidence
Indicates the state or region in which a fictional character’s residence is located.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97c42348190875a2f5b5bc0b99e |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.