Triple
T35385864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasily Borgov |
E1022790
|
entity |
| Predicate | settingOfMajorAppearance |
P193623
|
FINISHED |
| Object | Moscow |
—
|
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: Moscow | Statement: [Vasily Borgov, settingOfMajorAppearance, Moscow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfMajorAppearance Context triple: [Vasily Borgov, settingOfMajorAppearance, Moscow]
-
A.
characterMajorAppearance
Indicates that a character makes a significant or prominent appearance in a particular work or installment.
-
B.
publicAppearance
Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
-
C.
coreAppearance
Indicates that one entity serves as the primary or defining visual form or look of another entity.
-
D.
adaptationAppearance
Indicates that one entity appears or is depicted in an adaptation of another entity (such as a work being represented in a derived or reinterpreted version).
-
E.
givesAppearanceTo
Indicates that one entity imparts or determines the visual look or outward appearance of another entity.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:03 p.m.