Triple

T20808686
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Finland E512236 entity
Predicate officeHolder P537 FINISHED
Object Mikhail Borodkin
Mikhail Borodkin was a Russian imperial official and military lawyer who served as Governor-General of Finland during the late period of the Grand Duchy under Russian rule.
E2284977 NE 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: Mikhail Borodkin | Statement: [Governor-General of Finland, officeHolder, Mikhail Borodkin]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mikhail Borodkin
Triple: [Governor-General of Finland, officeHolder, Mikhail Borodkin]
Generated description
Mikhail Borodkin was a Russian imperial official and military lawyer who served as Governor-General of Finland during the late period of the Grand Duchy under Russian rule.

Provenance (5 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d0a2a081908fb0e3d890e87aaf completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a44b3916758819092544ab28c7b5afa completed July 1, 2026, 6:28 a.m.
NEDg Description generation batch_6a44b587c3ec8190997b70be1d8c7c15 completed July 1, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a44b5e52690819086e95e560158612c completed July 1, 2026, 6:38 a.m.
Created at: April 16, 2026, 12:40 p.m.