Triple

T20378421
Position Surface form Disambiguated ID Type / Status
Subject Commander-in-Chief of the Soviet Air Force E497752 entity
Predicate officeHolder P537 FINISHED
Object Yevgeny Shaposhnikov
Yevgeny Shaposhnikov was a Soviet and Russian military leader who served as the last Minister of Defence of the Soviet Union and later held senior positions in the Russian armed forces.
E2042626 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: Yevgeny Shaposhnikov | Statement: [Commander-in-Chief of the Soviet Air Force, officeHolder, Yevgeny Shaposhnikov]
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: Yevgeny Shaposhnikov
Triple: [Commander-in-Chief of the Soviet Air Force, officeHolder, Yevgeny Shaposhnikov]
Generated description
Yevgeny Shaposhnikov was a Soviet and Russian military leader who served as the last Minister of Defence of the Soviet Union and later held senior positions in the Russian armed forces.

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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678ae3468819087d7db7e1b79efc7 completed April 20, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a352f92c63c819098035a4d045b0a0a completed June 19, 2026, 12:01 p.m.
NEDg Description generation batch_6a3533aaf1d881909e9f0981fae87c6d completed June 19, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a35341981848190941fffd6dd22b4c1 completed June 19, 2026, 12:20 p.m.
Created at: April 16, 2026, 11:27 a.m.