Triple
T21681203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavel Ivanovich Chichikov |
E535110
|
entity |
| Predicate | usesCoverStory |
P145425
|
FINISHED |
| Object | claims to manage estates and resettle serfs |
—
|
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: claims to manage estates and resettle serfs | Statement: [Pavel Ivanovich Chichikov, usesCoverStory, claims to manage estates and resettle serfs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCoverStory Context triple: [Pavel Ivanovich Chichikov, usesCoverStory, claims to manage estates and resettle serfs]
-
A.
usedCover
Indicates that one entity employed another entity as a protective or concealing cover in a given context.
-
B.
locationCoverStory
Indicates that a particular location is used as a cover or front to conceal the true nature, purpose, or activities associated with something or someone.
-
C.
containsCoverOf
Indicates that one entity includes within it a cover or covering representation of another entity.
-
D.
isCoveredIn
Indicates that one entity has its surface or area overlaid, coated, or blanketed by another substance or material.
-
E.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96c69990819088a1134ecea09099 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:43 p.m.